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Building a cooperative child: evidence and lessons cross-culturally

2023· article· en· W4387606412 on OpenAlexaff
Tanya Broesch, Erin Robbins

Bibliographic record

VenueGlobal Discourse · 2023
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsPerspective (graphical)PsychosocialProcess (computing)Public relationsPsychologySocial psychologySociologyPolitical scienceEngineering ethicsComputer sciencePsychotherapistEngineering

Abstract

fetched live from OpenAlex

Humans cooperate with one another to a degree that is unmatched in any other species on the planet. However, there is enormous variability in cooperative thinking and behaviour within and between cultures. Here, we identify the features of the early social environment that we know to be predictors of positive elements of cooperation and create a roadmap for parents, educators and policymakers to guide them through the process of encouraging cooperation in development. We identify four basic psychosocial skills that support cooperation: (1) perspective taking; (2) expanding the concept of self to include others; (3) ensuring a secure attachment through shared positive emotions; and (4) internalising the norms of society (thereby decreasing reliance on externally motivated behaviour). We take a policy-oriented approach with a focus on the practical implications of the research presented throughout the article.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.024
metaresearch head score (Gemma)0.052
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.126

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0240.052
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0040.012
Scholarly communication0.0050.004
Open science0.0020.008
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.043
GPT teacher head0.413
Teacher spread0.371 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations10
Published2023
Admission routes1
Has abstractyes

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