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Robust clustering of languages across Wikipedia growth | Royal Society Open Science
Wikipedia is the largest existing knowledge repository that is growing on a genuine crowdsourcing support. While the English Wikipedia is the most extensive and the most researched one with over 5 million articles, comparatively little is known about the behaviour and growth of the remaining 283 smaller Wikipedias, the smallest of which, Afar, has only one article. Here, we use a subset of these data, consisting of 14 962 different articles, each of which exists in 26 different languages, from Arabic to Ukrainian. We study the growth of Wikipedias in these languages over a time span of 15 years. We show that, while an average article follows a random path from one language to another, there exist six well-defined clusters of Wikipedias that share common growth patterns. The make-up of these clusters is remarkably robust against the method used for their determination, as we verify via four different clustering methods. Interestingly, the identified Wikipedia clusters have little correlation with language families and groups. Rather, the growth of Wikipedia across different languages is governed by different factors, ranging from similarities in culture to information literacy.
Growth  WikiProjects  Longitudinal  LanguageFamily  Language  Segmentation 
january 2019 by Audiences
Twitter
RT : . have published a new POSTnote on - great to see evidence included in the briefi…
unpaidcare  longitudinal  from twitter
july 2018 by ewancarr
Twitter
RT : New POSTnote on unpaid care, including evidence based on data
longitudinal  from twitter
july 2018 by ewancarr
[1712.00067] Inference of Dynamic Regimes in the Microbiome
Many studies have been performed to characterize the dynamics and stability of the microbiome across a range of environmental contexts [Costello et al., 2012, Faust et al., 2015]. For example, it is often of interest to identify time intervals within which certain subsets of taxa have an interesting pattern of behavior. Viewed abstractly, these problems often have a flavor not just of time series modeling but also of regime detection, a problem with a rich history across a variety of applications, including speech recognition [Fox et al., 2011], finance [Lee, 2009], EEG analysis [Camilleri et al., 2014], and geophysics [Weatherley and Mora, 2002]. In spite of the parallels, regime detection methods are rarely used in microbiome analysis, most likely due to the fact that references for these methods are scattered across several literatures, descriptions are inaccessible outside limited research communities, and implementations are difficult to come across.
We distill the core ideas of different regime detection methods, provide example applications, and share reproducible code, making these techniques more accessible to microbiome researchers. We re-analyze data of Dethlefsen and Relman [2011], a study of the effects of antibiotics on the microbiome, using Classification and Regression Trees (CART) [Breiman et al., 1984], Hidden Markov Models (HMMs) [Rabiner and Juang, 1986], Bayesian nonparametric HMMs [Teh and Jordan, 2010, Fox et al., 2008], mixtures of Gaussian Processes (GPs) [Rasmussen and Ghahramani, 2002], switching dynamical systems [Linderman et al., 2016], and multiple changepoint detection [Fan and Mackey, 2015]. Along the way, we summarize each method, their relevance to the microbiome, and tradeoffs associated with using them. Ultimately, our goal is to describe types of temporal or regime switching structure that can be incorporated into studies of microbiome dynamics.
microbiome  longitudinal  statistics 
december 2017 by pleiotrope
ON THE ORIGIN OF STATES: STATIONARY BANDITS AND TAXATION IN EASTERN CONGO
As a foundation for this study, I organized the collection of village-level panel data on violent actors, managing teams of surveyors, village elders, and households in 380 war-torn areas of DRC. I introduce optimal taxation theory to the decision of violent actors to establish local monopolies of violence. The value of such decision hinges on their ability to tax the local population. A sharp rise in the global demand for coltan, a bulky commodity used in the electronics industry, leads violent actors to impose monopolies of violence and taxation in coltan sites, which persist even years after demand collapses. A similar rise in the demand for gold, easier to conceal and more difficult to tax, does not. However, the groups who nevertheless control gold sites are more likely to respond by undertaking investments in fiscal capacity, consistent with the difficulty to observe gold, and with well-documented trajectories of state formation in Europe (Ardant, 1975). The findings support the view that the expected revenue from taxation, determined in particular by tax base elasticity and costly investments in fiscal capacity, can explain the stages of state formation preceding the states as we recognize them today.
pdf  study  economics  growth-econ  broad-econ  political-econ  polisci  leviathan  north-weingast-like  unintended-consequences  institutions  microfoundations  econometrics  empirical  government  taxes  rent-seeking  supply-demand  incentives  property-rights  africa  developing-world  peace-violence  interests  longitudinal  natural-experiment  endogenous-exogenous  archaeology  trade  world  feudal  roots  ideas  cost-benefit  econ-productivity  traces 
november 2017 by nhaliday
Frontiers | Montessori Preschool Elevates and Equalizes Child Outcomes: A Longitudinal Study | Psychology
Quality preschool programs that develop the whole child through age-appropriate socioemotional and cognitive skill-building hold promise for significantly improving child outcomes. However, preschool programs tend to either be teacher-led and didactic, or else to lack academic content. One preschool model that involves both child-directed, freely chosen activity and academic content is Montessori. Here we report a longitudinal study that took advantage of randomized lottery-based adm...
education  longitudinal  study  montessori 
november 2017 by clehene
Does Learning to Read Improve Intelligence? A Longitudinal Multivariate Analysis in Identical Twins From Age 7 to 16
Stuart Richie, Bates, Plomin

SEM: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4354297/figure/fig03/

The variance explained by each path in the diagrams included here can be calculated by squaring its path weight. To take one example, reading differences at age 12 in the model shown in Figure​Figure33 explain 7% of intelligence differences at age 16 (.262). However, since our measures are of differences, they are likely to include substantial amounts of noise: Measurement error may produce spurious differences. To remove this error variance, we can take an estimate of the reliability of the measures (generally high, since our measures are normed, standardized tests), which indicates the variance expected purely by the reliability of the measure, and subtract it from the observed variance between twins in our sample. Correcting for reliability in this way, the effect size estimates are somewhat larger; to take the above example, the reliability-corrected effect size of age 12 reading differences on age 16 intelligence differences is around 13% of the “signal” variance. It should be noted that the age 12 reading differences themselves are influenced by many previous paths from both reading and intelligence, as illustrated in Figure​Figure33.

...

The present study provided compelling evidence that improvements in reading ability, themselves caused purely by the nonshared environment, may result in improvements in both verbal and nonverbal cognitive ability, and may thus be a factor increasing cognitive diversity within families (Plomin, 2011). These associations are present at least as early as age 7, and are not—to the extent we were able to test this possibility—driven by differences in reading exposure. Since reading is a potentially remediable ability, these findings have implications for reading instruction: Early remediation of reading problems might not only aid in the growth of literacy, but may also improve more general cognitive abilities that are of critical importance across the life span.

Does Reading Cause Later Intelligence? Accounting for Stability in Models of Change: http://sci-hub.tw/10.1111/cdev.12669
Results from a state–trait model suggest that reported effects of reading ability on later intelligence may be artifacts of previously uncontrolled factors, both environmental in origin and stable during this developmental period, influencing both constructs throughout development.
study  albion  scitariat  spearhead  psychology  cog-psych  psychometrics  iq  intelligence  eden  language  psych-architecture  longitudinal  twin-study  developmental  environmental-effects  studying  🌞  retrofit  signal-noise  intervention  causation  graphs  graphical-models  flexibility  britain  neuro-nitgrit  effect-size  variance-components  measurement  multi  sequential  time  composition-decomposition  biodet  behavioral-gen  direct-indirect  systematic-ad-hoc  debate  hmm  pdf  piracy  flux-stasis 
september 2017 by nhaliday
Career Options for Scientists
Most PhD students in the biological sciences will not go on to become academics. For these individuals, choosing the best career path can be difficult. Fortunately, there are many options that allow them to take advantage of skills they hone during graduate and postdoctoral work.

The declining interest in an academic career: http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0184130
study  essay  advice  career  planning  long-term  higher-ed  academia  science  uncertainty  regularizer  supply-demand  data  visualization  trends  grad-school  phd  🔬  success  arbitrage  progression  multi  longitudinal  values  poll  flux-stasis  time  correlation 
september 2017 by nhaliday
Divorce demography - Wikipedia
https://en.wikipedia.org/wiki/Divorce_in_the_United_States#Rates_of_divorce
https://psychcentral.com/lib/the-myth-of-the-high-rate-of-divorce/

Marriage update: less divorce, and less sex: https://familyinequality.wordpress.com/2017/04/14/marriage-update-less-divorce-and-less-sex/

Breaking Up Is Hard to Count: The Rise of Divorce in the United States, 1980–2010: https://link.springer.com/article/10.1007%2Fs13524-013-0270-9
Divorce rates have doubled over the past two decades among persons over age 35. Among the youngest couples, however, divorce rates are stable or declining. If current trends continue, overall age-standardized divorce rates could level off or even decline over the next few decades. We argue that the leveling of divorce among persons born since 1980 probably reflects the increasing selectivity of marriage.
sociology  methodology  demographics  social-science  social-structure  life-history  sex  wiki  reference  pro-rata  metrics  longitudinal  intricacy  multi  org:sci  wonkish  sexuality  trends  data  analysis  general-survey  study  history  mostly-modern  usa  selection  age-generation  chart 
august 2017 by nhaliday
THE GROWING IMPORTANCE OF SOCIAL SKILLS IN THE LABOR MARKET*
key fact: cognitive ability is not growing in importance, but non-cognitive ability is

The labor market increasingly rewards social skills. Between 1980 and 2012, jobs requiring high levels of social interaction grew by nearly 12 percentage points as a share of the U.S. labor force. Math-intensive but less social jobs—including many STEM occupations—shrank by 3.3 percentage points over the same period. Employment and wage growth was particularly strong for jobs requiring high levels of both math skill and social skill. To understand these patterns, I develop a model of team production where workers “trade tasks” to exploit their comparative advantage. In the model, social skills reduce coordination costs, allowing workers to specialize and work together more efficiently. The model generates predictions about sorting and the relative returns to skill across occupations, which I investigate using data from the NLSY79 and the NLSY97. Using a comparable set of skill measures and covariates across survey waves, I find that the labor market return to social skills was much greater in the 2000s than in the mid 1980s and 1990s. JEL Codes: I20, I24, J01, J23, J24, J31

The Increasing Complementarity between Cognitive and Social Skills: http://econ.ucsb.edu/~weinberg/MathSocialWeinberger.pdf

The Changing Roles of Education and Ability in Wage Determination: http://business.uow.edu.au/content/groups/public/@web/@commerce/@research/documents/doc/uow130116.pdf

Intelligence and socioeconomic success: A meta-analytic review of longitudinal research: http://www.emilkirkegaard.dk/en/wp-content/uploads/Intelligence-and-socioeconomic-success-A-meta-analytic-review-of-longitudinal-research.pdf
Moderator analyses showed that the relationship between intelligence and success is dependent on the age of the sample but there is little evidence of any historical trend in the relationship.

https://twitter.com/khazar_milkers/status/898996206973603840
https://archive.is/7gLXv
that feelio when america has crossed an inflection point and EQ is obviously more important for success in todays society than IQ
I think this is how to understand a lot of "corporate commitment to diversity" stuff.Not the only reason ofc, but reason it's so impregnable
compare: https://pinboard.in/u:nhaliday/b:e9ac3d38e7a1
and: https://pinboard.in/u:nhaliday/b:a38f5756170d

g-reliant skills seem most susceptible to automation: https://fredrikdeboer.com/2017/06/14/g-reliant-skills-seem-most-susceptible-to-automation/

THE ERROR TERM: https://spottedtoad.wordpress.com/2018/02/19/the-error-term/
Imagine an objective function- something you want to maximize or minimize- with both a deterministic and a random component.

...

Part of y is rules-based and rational, part is random and outside rational control. Obviously, the ascent of civilization has, to the extent it has taken place, been based on focusing energies on those parts of the world that are responsive to rational interpretation and control.

But an interesting thing happens once automated processes are able to take over the mapping of patterns onto rules. The portion of the world that is responsive to algorithmic interpretation is also the rational, rules-based portion, almost tautologically. But in terms of our actual objective functions- the real portions of the world that we are trying to affect or influence- subtracting out the portion susceptible to algorithms does not eliminate the variation or make it unimportant. It simply makes it much more purely random rather than only partially so.

The interesting thing, to me, is that economic returns accumulate to the random portion of variation just as to the deterministic portion. In fact, if everybody has access to the same algorithms, the returns may well be largely to the random portion. The efficient market hypothesis in action, more or less.

...

But more generally, as more and more of the society comes under algorithmic control, as various forms of automated intelligence become ubiquitous, the remaining portion, and the portion for which individual workers are rewarded, might well become more irrational, more random, less satisfying, less intelligent.

Golden age for team players: https://news.harvard.edu/gazette/story/2017/10/social-skills-increasingly-valuable-to-employers-harvard-economist-finds/
Strong social skills increasingly valuable to employers, study finds

Number of available jobs by skill set (over time)

Changes in hourly wages by skill set (over time)

https://twitter.com/GarettJones/status/947904725294260224
https://archive.is/EEQA9
A resolution for the new year: Remember that intelligence is a predictor of social intelligence!
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august 2017 by nhaliday

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