- Last 7 days
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docdrop.org docdrop.orgJazz1
- May 2023
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www.mendeley.com www.mendeley.com
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www.mendeley.com www.mendeley.com
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As Schuller points out: “There is no question in my mind that the classical world can learn much about timing. rhythmic accuracy and subtlety from jazz musicians, as jazz musicians can in dynamics. structure and contrast from the classical musicians.”
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www.mendeley.com www.mendeley.com
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dynam
dynamics as improvisation aid - accenting every 2nd note, for example
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www.mendeley.com www.mendeley.com
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Dynamics are yet another aspect of composition over which McNeely exercises deliberate and organized control. Writing for a high level ensemble such as the Vanguard Jazz Orchestra, he is able to demand and receive a great deal of nuance, shape and color. McNeely uses an extraordinarily high number of dynamic markings throughout all his arrangements and in particular here. Undulating hairpin (crescendo followed by immediate decrescendo) shapes are prevalent with each dynamic level marked 14specifically. As a rule, the ensemble exaggerates the dynamic shapes, often in ways that give prominence to the dynamics over and above elements of harmony and melody. In this respect, the dynamics may sometimes be considered a compositional device of equal importance. This general approach to dynamics as shapes is characteristic of all three of the compositions studied herein.
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- Apr 2023
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beiner.substack.com beiner.substack.com
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Daniel Schmachtenberger has spoken at length about the ‘generator functions’ of existential risk, in essence the deeper driving causes.
Definition - generator function of existential risk - the deeper driving cause of existential risk - two examples of deep causes - rivalrous dynamics - complicated systems consuming their complex substrate
Claim - Alexander Beiner claims that - the generator function of these generator functions is physicalism
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- Mar 2023
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insightmaker.com insightmaker.com
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// Insight Maker is used to model system dynamics and create agent based models by creating causal loop diagrams and allowing users to run simulations on those
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- Feb 2023
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docdrop.org docdrop.org
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Kawakatsu et al. (1) make an important ad-vance in the quest for this kind of understanding, pro-viding a general model for how subtle differences inindividual-level decision-making can lead to hard-to-miss consequences for society as a whole.Their work (1) reveals two distinct regimes—oneegalitarian, one hierarchical—that emerge fromshifts in individual-level judgment. These lead to sta-tistical methods that researchers can use to reverseengineer observed hierarchies, and understand howsignaling systems work when prestige and power arein play.
M. Kawakatsu, P. S. Chodrow, N. Eikmeier, D. B. Larremore, Emergence of hierarchy in networked endorsement dynamics. Proc. Natl. Acad. Sci. U.S.A. 118, e2015188118 (2021)
This may be of interest to Jerry Michalski et al.
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- Jan 2023
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Local file Local file
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one reason the Golden Age of Piracy remains the stuff oflegend is that pirates of that age were so skilled at manipulatinglegends; they deployed wonder-stories—whether of terrifyingviolence or inspiring ideals—as something very much like weaponsof war, even if the war in question was the desperate and ultimatelydoomed struggle of a motley band of outlaws against the entireemerging structure of world authority at the time.
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- Nov 2022
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blog.mahabali.me blog.mahabali.me
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https://blog.mahabali.me/pedagogy/pedagogical-snacking-transforming-classroom-dynamics/
Providing a snack break during classes can dramatically improve the participants' participation and cohesion.
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- Oct 2022
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read.aupress.ca read.aupress.ca
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Mead (1934) suggests that an individual’s identity is created by the degree to which that person absorbs the values of their community, summarized in the phrase “self reflects society.” Snow (2001) also argues that identity is largely constructed socially and includes, as well as Mead’s sense of belonging, a sense of difference from other communities. Identity is seen as a shared sense of “we-ness” developed through shared attributes and experiences and in contrast to one or more sets of others.
Consider in reference to the faculty/staff divide, to arguments over Faculty Status, to contingency, etc.
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- Sep 2022
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Results indicate that between the ages of 20 and75 years, nearly 60 percent of Americans will experience living for at least 1 yearbelow the official poverty line, while three-fourths of Americans will encounterpoverty or near- poverty (150 percent below the official poverty line).4
Mark Rank and Thomas Hirschl's research based on the Panel Study of Income Dynamics (PSID) using risk assessments using life tables show that nearly 60 percent of Americans between 20 and 75 will live for at least 1 year below the poverty line and 75% of Americans will encounter poverty or near-poverty (defined as 150 percent below the official poverty line).
Cross reference:<br /> Mark R. Rank and Thomas A. Hirschl, “The Likelihood of Experiencing Relative Poverty Across the Life Course,” PLoS One 10 (2015): E01333513.
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- Mar 2022
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psyarxiv.com psyarxiv.com
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Villanueva, Cynthia, Stevi Ibonie, Emily Jensen, Lucca Eloy, Jordi Quoidbach, Angela Bryan, Sidney D’Mello, and June Gruber. ‘Emotion Differentiation and Bipolar Risk in Emerging Adults Before and During the COVID-19 Pandemic’. PsyArXiv, 19 February 2022. https://doi.org/10.31234/osf.io/xya43.
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- Feb 2022
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Local file Local file
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Dweck shows convincingly thatthe most reliable predictor for long-term success is having a “growthmindset.” To actively seek and welcome feedback, be it positive ornegative, is one of the most important factors for success (andhappiness) in the long run. Conversely, nothing is a bigger hindranceto personal growth than having a “fixed mindset.” Those who fearand avoid feedback because it might damage their cherishedpositive self-image might feel better in the short term, but will quicklyfall behind in actual performance (Dweck 2006; 2013).
Carol Dweck shows that the most reliable predictor for long-term success is what she calls having a "growth mindset" or the ability to take feedback and change.
This seems related to the idea of endergonic reactions and the growth of complexity as well as the idea of the meaning of life.
What do these systems all have in common? What are their differences? What abstractions can we make from them?
Relate this to https://hypothes.is/a/pdWppIX5EeyhR0NR19OjCQ
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- Jan 2022
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academic.oup.com academic.oup.com
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Yonker, L. M., Boucau, J., Regan, J., Choudhary, M. C., Burns, M. D., Young, N., Farkas, E. J., Davis, J. P., Moschovis, P. P., Bernard Kinane, T., Fasano, A., Neilan, A. M., Li, J. Z., & Barczak, A. K. (2021). Virologic Features of Severe Acute Respiratory Syndrome Coronavirus 2 Infection in Children. The Journal of Infectious Diseases, 224(11), 1821–1829. https://doi.org/10.1093/infdis/jiab509
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- Nov 2021
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www.theatlantic.com www.theatlantic.com
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It’s not just the hyper-social and the flirtatious who have found themselves victims of the New Puritanism. People who are, for lack of a more precise word, difficult have trouble too. They are haughty, impatient, confrontational, or insufficiently interested in people whom they perceive to be less talented. Others are high achievers, who in turn set high standards for their colleagues or students. When those high standards are not met, these people say so, and that doesn’t go over well. Some of them like to push boundaries, especially intellectual boundaries, or to question orthodoxies. When people disagree with them, they argue back with relish.
How much of this can be written down to differing personal contexts and lack of respect for people's humanity? Are the neurodivergent being punished in these spaces?
Applebaum provides a list of potential conflict areas of cancel culture outside of power dynamics.
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Once it was not just okay but admirable that Chua and Rubenfeld had law-school students over to their house for gatherings. That moment has passed. So, too, has the time when a student could discuss her personal problems with her professor, or when an employee could gossip with his employer. Conversations between people who have different statuses—employer-employee, professor-student—can now focus only on professional matters, or strictly neutral topics. Anything sexual, even in an academic context—for example, a conversation about the laws of rape—is now risky.
Is it simply the stratification of power and roles that is causing these problems? Is it that some of this has changed and that communication between people of different power levels is the difficulty in these cases?
I have noticed a movement in pedagogy spaces that puts the teacher as a participant rather than as a leader thus erasing the power structures that previously existed. This exists within Cathy Davidson's The New Education where teachers indicate that they're learning as much as their students.
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- Oct 2021
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www.jstor.org www.jstor.org
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Team syntegrity and democratic group decision making: theory and practice
Team Syntegrity
Stafford Beer created Team Syntegrity as a methodology for social interaction that predisposes participants towards shared agreement among varied and sometimes conflicting interests, without compromising the legitimate claims and integrity of those interests. This paper outlines the methodology and the underlying philosophy, describing several applications in a variety of countries and contexts, indicating why such an approach causes us to re-think more traditional approaches to group decision processes, and relating Team Syntegrity to other systems approaches.
Shared by Kirby Urner in the Trimtab Book Club
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- Jun 2021
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arxiv.org arxiv.org
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Reis, E. F. dos, & Masuda, N. (2021). Metapopulation models imply non-Poissonian statistics of interevent times. ArXiv:2106.10348 [Physics]. http://arxiv.org/abs/2106.10348
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- Apr 2021
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psyarxiv.com psyarxiv.com
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Betsch, Cornelia, and Philipp Sprengholz. ‘The Human Factor between Airborne Pollen Concentrations and COVID-19 Disease Dynamics’. PsyArXiv, 16 April 2021. https://doi.org/10.31234/osf.io/hw9gf.
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- Mar 2021
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www.scientificamerican.com www.scientificamerican.com
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Oreskes, N. (n.d.). Jeffrey Epstein’s Harvard Connections Show How Money Can Distort Research. Scientific American. https://doi.org/10.1038/scientificamerican0920-84
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- Feb 2021
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psyarxiv.com psyarxiv.com
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Jacobson, N. C., Price, G., Song, M., Wortzman, Z., Nguyen, N. D., & Klein, R. J. (2020, October 27). Machine Learning Models Predicting Daily Affective Dynamics Via Personality and Psychopathology Traits. https://doi.org/10.31234/osf.io/2zgv6
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- Jan 2021
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psyarxiv.com psyarxiv.com
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Dideriksen, C., Christiansen, M. H., Tylén, K., Dingemanse, M., & Fusaroli, R. (2020, October 12). Building common ground: Quantifying the interplay of mechanisms that promote understanding in conversations. https://doi.org/10.31234/osf.io/a5r74
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Landry. N., Restrepo. J. G. (2020).The effect of heterogeneity on hypergraph contagion models. Physics and Society. Retrieved from: https://arxiv.org/abs/2006.15453
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- Nov 2020
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www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
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by attaching acceptor and donor to different domains of a target protein, the interdomain dynamics can be monitored
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www.michellekimconsulting.com www.michellekimconsulting.com
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What’s truly sad (but not shocking) about this whole situation is that this person, James Damore, a Havard educated, seemingly well-intentioned fella, had steadfast beliefs based on his complete misunderstanding of how “sexism” or “discrimination” actually work.And that’s the problem with the way we talk about diversity and inclusion in the business world.People are learning about unconscious bias WITHOUT the foundational knowledge of the cycle of socialization.People are learning about microaggressions WITHOUT the context of power dynamics.People are learning about “diversity programs” WITHOUT true understanding of concepts such as privilege or allyship.
While there are some people with good intents in the [[DEI]] space - it's starting to become apparent that there are some [[foundational concepts]] that we are missing, such as understanding how [[cycle of socialization]] impacts [[unconscious bias]]
or not understanding the role of [[power dynamics]] and [[microaggression]]
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- Oct 2020
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Maia, H. P., Ferreira, S. C., & Martins, M. L. (2020). Adaptive network approach for emergence of societal bubbles. ArXiv:2010.08635 [Nlin, Physics:Physics]. http://arxiv.org/abs/2010.08635
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covid-19.iza.org covid-19.iza.org
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COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved October 10, 2020, from https://covid-19.iza.org/publications/dp13569/
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Ghavasieh, A., Nicolini, C., & De Domenico, M. (2020). Statistical physics of complex information dynamics. ArXiv:2010.04014 [Cond-Mat, Physics:Physics]. http://arxiv.org/abs/2010.04014
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link.aps.org link.aps.org
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Gaisbauer, F., Olbrich, E., & Banisch, S. (2020). Dynamics of opinion expression. Physical Review E, 102(4), 042303. https://doi.org/10.1103/PhysRevE.102.042303
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link.aps.org link.aps.org
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Burda, Z., Kotwica, M., & Malarz, K. (2020). Ageing of complex networks. Physical Review E, 102(4), 042302. https://doi.org/10.1103/PhysRevE.102.042302
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www.pnas.org www.pnas.org
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Karatayev, Vadim A., Madhur Anand, and Chris T. Bauch. ‘Local Lockdowns Outperform Global Lockdown on the Far Side of the COVID-19 Epidemic Curve’. Proceedings of the National Academy of Sciences 117, no. 39 (29 September 2020): 24575–80. https://doi.org/10.1073/pnas.2014385117.
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- Sep 2020
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Chen, Q., & Porter, M. A. (2020). Epidemic Thresholds of Infectious Diseases on Tie-Decay Networks. ArXiv:2009.12932 [Physics]. http://arxiv.org/abs/2009.12932
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arxiv.org arxiv.org
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James, N., & Menzies, M. (2020). Human and financial cost of COVID-19. ArXiv:2009.11660 [Physics, q-Fin]. http://arxiv.org/abs/2009.11660
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twitter.com twitter.com
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Pausal Živference on Twitter. (n.d.). Twitter. Retrieved September 26, 2020, from https://twitter.com/PausalZ/status/1309208611265093632
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science.sciencemag.org science.sciencemag.org
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Saad-Roy, C. M., Wagner, C. E., Baker, R. E., Morris, S. E., Farrar, J., Graham, A. L., Levin, S. A., Mina, M. J., Metcalf, C. J. E., & Grenfell, B. T. (2020). Immune life history, vaccination, and the dynamics of SARS-CoV-2 over the next 5 years. Science. https://doi.org/10.1126/science.abd7343
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COVID-19 reports. (n.d.). Imperial College London. Retrieved September 17, 2020, from http://www.imperial.ac.uk/medicine/departments/school-public-health/infectious-disease-epidemiology/mrc-global-infectious-disease-analysis/covid-19/covid-19-reports/
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Giles, J. R., Erbach-Schoenberg, E. zu, Tatem, A. J., Gardner, L., Bjørnstad, O. N., Metcalf, C. J. E., & Wesolowski, A. (2020). The duration of travel impacts the spatial dynamics of infectious diseases. Proceedings of the National Academy of Sciences, 117(36), 22572–22579. https://doi.org/10.1073/pnas.1922663117
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Kahn, R., Kennedy-Shaffer, L., Grad, Y. H., Robins, J. M., & Lipsitch, M. (n.d.). Potential Biases Arising from Epidemic Dynamics in Observational Seroprotection Studies. American Journal of Epidemiology. https://doi.org/10.1093/aje/kwaa188
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github.com github.com
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aaronpeikert. (2020). Aaronpeikert/reproducible-research [TeX]. https://github.com/aaronpeikert/reproducible-research (Original work published 2019)
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Miyoshi, S., Jusup, M., & Holme, P. (2020). Flexible imitation mechanisms suppress epidemics through better vaccination. ArXiv:2009.00443 [Physics, q-Bio]. http://arxiv.org/abs/2009.00443
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arxiv.org arxiv.org
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Carmona, H. A., de Noronha, A. W. T., Moreira, A. A., Araujo, N. A. M., & Andrade Jr, J. S. (2020). Cracking urban mobility. ArXiv:2008.13644 [Cond-Mat, Physics:Physics]. http://arxiv.org/abs/2008.13644
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- Aug 2020
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link.aps.org link.aps.org
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Perez, I. A., Di Muro, M. A., La Rocca, C. E., & Braunstein, L. A. (2020). Disease spreading with social distancing: A prevention strategy in disordered multiplex networks. Physical Review E, 102(2), 022310. https://doi.org/10.1103/PhysRevE.102.022310
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Waites, W., Cavaliere, M., Manheim, D., Panovska-Griffiths, J., & Danos, V. (2020). Scaling up epidemiological models with rule-based modelling. ArXiv:2006.12077 [q-Bio]. http://arxiv.org/abs/2006.12077
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Dynamics of Social Mobility during the COVID-19 Pandemic in Canada. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved August 4, 2020, from https://covid-19.iza.org/publications/dp13376/
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Moya, C., Cruz y Celis Peniche, P. D., Kline, M. A., & Smaldino, P. (2020). Dynamics of Behavior Change in the COVID World [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/kxajh
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Starnini, M., Aleta, A., Tizzoni, M., & Moreno, Y. (2020). Impact of the accuracy of case-based surveillance data on the estimation of time-varying reproduction numbers. MedRxiv, 2020.06.26.20140871. https://doi.org/10.1101/2020.06.26.20140871
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Sun, F., Wang, X., Tan, S., Dan, Y., Lu, Y., Zhang, J., Xu, J., Tan, Z., Xiang, X., Zhou, Y., He, W., Wan, X., Zhang, W., Chen, Y., Tan, W., & Deng, G. (2020). SARS-CoV-2 Quasispecies provides insight into its genetic dynamics during infection. BioRxiv, 2020.08.20.258376. https://doi.org/10.1101/2020.08.20.258376
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Velásquez-Rojas, F., Ventura, P. C., Connaughton, C., Moreno, Y., Rodrigues, F. A., & Vazquez, F. (2020). Disease and information spreading at different speeds in multiplex networks. Physical Review E, 102(2), 022312. https://doi.org/10.1103/PhysRevE.102.022312
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Sun, K., Wang, W., Gao, L., Wang, Y., Luo, K., Ren, L., Zhan, Z., Chen, X., Zhao, S., Huang, Y., Sun, Q., Liu, Z., Litvinova, M., Vespignani, A., Ajelli, M., Viboud, C., & Yu, H. (2020). Transmission heterogeneities, kinetics, and controllability of SARS-CoV-2. MedRxiv, 2020.08.09.20171132. https://doi.org/10.1101/2020.08.09.20171132
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Ran, Y., Deng, X., Wang, X., & Jia, T. (2020). A generalized linear threshold model for an improved description of the spreading dynamics. Chaos: An Interdisciplinary Journal of Nonlinear Science, 30(8), 083127. https://doi.org/10.1063/5.0011658
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Alon, T., Kim, M., Lagakos, D., & VanVuren, M. (2020). How Should Policy Responses to the COVID-19 Pandemic Differ in the Developing World? (Working Paper No. 27273; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27273
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Jinjarak, Y., Ahmed, R., Nair-Desai, S., Xin, W., & Aizenman, J. (2020). Accounting for Global COVID-19 Diffusion Patterns, January-April 2020 (Working Paper No. 27185; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27185
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- Jul 2020
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Golding, N., Russell, T. W., Abbott, S., Hellewell, J., Pearson, C. A. B., Zandvoort, K. van, Jarvis, C. I., Gibbs, H., Liu, Y., Eggo, R. M., Edmunds, J. W., & Kucharski, A. J. (2020). Reconstructing the global dynamics of under-ascertained COVID-19 cases and infections. MedRxiv, 2020.07.07.20148460. https://doi.org/10.1101/2020.07.07.20148460
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bahri, muhamad. (2020). The nexus impacts of the Covid-19: A qualitative perspective [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/yj8c9
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See how a sneeze can launch germs much farther than 6 feet. (2020, April 17). Science. https://www.nationalgeographic.com/science/2020/04/coronavirus-covid-sneeze-fluid-dynamics-in-photos/
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Shafer, K., Milkie, M., & Scheibling, C. (2020). The Division of Labour Before & During the COVID-19 Pandemic in Canada [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/24j87
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Dou, Z., Stefanovski, D., Galligan, D., Lindem, M., Rozin, P., Chen, T., & Chao, A. M. (2020). The COVID-19 Pandemic Impacting Household Food Dynamics: A Cross-National Comparison of China and the U.S. [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/64jwy
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Willem, L., Hoang, T. V., Funk, S., Coletti, P., Beutels, P., & Hens, N. (2020). SOCRATES: An online tool leveraging a social contact data sharing initiative to assess mitigation strategies for COVID-19 [Preprint]. Epidemiology. https://doi.org/10.1101/2020.03.03.20030627
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Schmidt, A., Brose, A., Kramer, A., Schmiedek, F., Witthöft, M., & Neubauer, A. (2020). Cyclical Across-Day Dynamics of Corona-Related Media Exposure and Worries in People’s Everyday Lives During the COVID-19 Pandemic. https://doi.org/10.31234/osf.io/rea57
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