Social Identity Threat in Response to Stereotypic Film Portrayals: Effects on Self‐Conscious Emotion and Implicit Ingroup Attitudes
Bibliographic record
Abstract
Disadvantaged ethnic groups are often portrayed stereotypically in film, but little is known about how such portrayals affect members of those groups. Two experiments examined the affective and attitudinal reactions of Mexican and European Americans to stereotypic film clips of Latinos. Results of Study 1 revealed that stereotypic films cue negative affect among Mexican Americans, regardless of the realism of the portrayals. In Study 2, both Mexican and European Americans felt more self‐conscious when another ingroup member openly laughed at negative Latino stereotypes in a comedy. Across both studies, the importance of ethnic identity exacerbated negative reactions to stereotypic clips and predicted somewhat more negative implicit group attitudes among Mexican Americans. In contrast, group pride mitigated affective costs and predicted greater enjoyment of stereotypical film clips among European Americans. The implications for the role of mass media in creating social identity threat for disadvantaged ethnic groups are discussed.
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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 | 0.000 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".