From ‘I’ to ‘We’: The Role of Putdown Humor and Identity in the Development of a Temporary Group
Bibliographic record
Abstract
Participant observation of a 6-week Executive Development Course suggests that humor provides a key mechanism for enacting a sense of community for group members. Specifically, the study examines the process through which putdown humor helps foster group identity and cohesion in a temporary group. Putdowns followed a pattern of development that signaled increasing trust and inclusion, and was regulated by implicit rules that incubated the emergent solidarity. The meaning of certain humorous episodes was equivocal, but the act of laughing together glossed over the equivocality so that the sense of community was reaffirmed. Further, social identity dynamics appeared to strongly affect perceptions of the appropriateness of humor. The authors conclude that shared putdown humor and the implicit set of rules regarding its use may facilitate solidarity, and they attempt to reconcile why ‘inclusionary putdowns’ were found here when ‘exclusionary putdowns’ are usually reported in the literature.
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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 | 0.003 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".