The Reporting of Self-Esteem in Japan and Canada
Bibliographic record
Abstract
Japanese tend to report lower self-esteem than do Westerners. What this behavioral difference indicates about the private sentiments of individuals in Japan and Western countries such as Canada has been earnestly debated in recent years. Consideration of self-esteem ratings as speech acts or performatives shifts the focus of cultural comparison away from the valence of assumed mental representations and onto the pragmatics of agreement with statements of personal value. This alternative framing highlights the importance of performative pressures and other normative considerations in guiding the speech acts whereby self-esteem is typically measured. To support our claim that the self-esteem ratings of Japanese and Canadians are shaped by contrasting performative pressures, we show that explicit instructions designed to offset these pressures predictably raise or lower reported self-esteem. Implications of the results for the meaning and measurement of self-esteem across cultures are discussed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".