The Global Temperament Project: Parent-reported temperament in infants, toddlers, and children from 59 nations.
Bibliographic record
Abstract
Data from 83,423 parent reports of temperament (surgency, negative affectivity, and regulatory capacity) in infants, toddlers, and children from 341 samples gathered in 59 countries were used to investigate the relations among culture, gender, and temperament. Between-nation differences in temperament were larger than those obtained in similar studies of adult personality, and most pronounced for negative affectivity. Nation-level patterns of negative affectivity were consistent across infancy, toddlerhood, and childhood, and patterns of regulatory capacity were consistent between infancy and toddlerhood. Nations that previously reported high extraversion, high conscientiousness, and low neuroticism in adults were found to demonstrate high surgency in infants and children, and countries reporting low adult openness and high adult neuroticism reported high temperamental negative affectivity. Negative affectivity was high in Southern Asia, Western Asia, and South America and low in Northern and Western Europe. Countries in which children were rated as high in negative affectivity had cultural orientations reflecting collectivism, high power distance, and short-term orientation. Surgency was high in Southeastern and Southern Asia and Southern Europe and low in Eastern Asian countries characterized by philosophies of long-term orientation. Low personal income was associated with high negative affectivity. Gender differences in temperament were largely consistent in direction with prior studies, revealing higher regulatory capacity in females than males and higher surgency in males than females, with these differences becoming more pronounced at later ages. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".