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Record W2145716415 · doi:10.1177/0022022100031002008

A Cross-National Comparison of Children’s Behavior with their Friends in Situations of Potential Conflict

2000· article· en· W2145716415 on OpenAlexaffabout
Barry H. Schneider, Ada Fonzi, Giovanna Tomada, Franca Tani

Bibliographic record

VenueJournal of Cross-Cultural Psychology · 2000
Typearticle
Languageen
FieldPsychology
TopicChild and Animal Learning Development
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsCompromiseNegotiationNoveltyPsychologySocial psychologyRace (biology)Developmental psychologySociologyPolitical scienceGender studiesLaw

Abstract

fetched live from OpenAlex

Dyads of 8- and 9-year-old friends and nonfriends in Central Italy and English Canada were observed while participating in two structured tasks designed to simulate everyday situations of potential conflict. In discussing how they might share a single chocolate egg with a toy inside, Italian youngsters made fewer proposals in all, but nonetheless were able to achieve a greater discrepancy between initial and final negotiating positions. Friends spent almost twice as much time as nonfriends in these discussions; friends also displayed greater novelty and compromise in their counterproposals. Italian girls made significantly fewer proposals and counterproposals than other participants in the study. When participating in a fast-paced car race, Canadian children committed significantly more infractions of the rules. Italian friends were more involved in the race and maintained respect for the rules better than Italian nonfriends, but there were no significant differences between friends and nonfriends in Canada. These results are interpreted in light of known differences between the cultures.

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)0.001
metaresearch head score (Gemma)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.072
Threshold uncertainty score0.143

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.042
GPT teacher head0.431
Teacher spread0.389 · 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

Citations18
Published2000
Admission routes2
Has abstractyes

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