Psychosocial correlates of collective self-esteem : a comparative study
Bibliographic record
Abstract
Following earlier research on social and psychological effects and significance of collective self-esteem (CSE) in intergroup relations, a comparative cross cultural study was conducted to examine and compare the correlates of CSE, personal self-esteem (PSE) and personal experience of racism (PER) in Quebecois and Cambodian groups of adolescents and their parents. It was hypothesised that the effects and distribution of CSE, PSE and PER would be different across cultures and, within cultural groups, across generations, due to the differential meanings and social implications of these constructs in each group. Owngroup interviewers interviewed 208 subjects in French and Khmer languages. The study sample consisted of 114 Cambodian and 94 Quebecois participants. Each of these two groups was composed of two equal sub-groups of adolescents and their parents. Global results replicated earlier findings. Closer observation, however, revealed asymmetric patterns across the two ethnic groups. Results are discussed as evidence for the following hypotheses: (1) The magnitude of scores achieved on collective self-esteem varies across cultures; (2) The relationship between CSE and PSE is stronger for the Cambodian population; (3) The relationship between CSE and PER varies as a function of group membership (across cultures/generations); and (4) CSE has a positive correlation with mental health. Theoretical implications of the findings are further discussed in terms of the applicability of the construct CSE, a possible distinction between 'true' and 'defensive' high collective self-esteem scores on self-report scales, and the importance of collective self-esteem in intergroup interactions.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".