Stereotypes and the discursive accomplishment of intergroup differentiation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article analyzes how employees in a global business organization talk about their colleagues in other countries. Employees were asked to discuss their work practices in focus group settings, and give examples of how they experience ‘the other’. Using Discursive Psychology and Politeness Theory as the analytic approaches, the article analyzes pieces of discourse to disclose social psychological phenomena such as group identity, intergroup differentiation, and stereotypes. The analyses show that talking about ‘the other’ is potentially face-threatening, and mitigating discourse features are used repeatedly to soften the criticism. We also see how uncovering stereotypes is a mutual accomplishment in the group, and how group members gradually move from relatively innocent to blatantly negative outgroup stereotypes. The analyses also show that participants engage in meta-reflections on the nature of stereotypes, which may serve as another mitigating device, and that talk about ‘the other’ is used to create intergroup differentiation. Finally, the article discusses the implications of these findings for cross-cultural communication and work practices in organizations.
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.
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 | 0.002 | 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 | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it