Determining our destiny: Do restrictions to collective autonomy fuel collective action?
Bibliographic record
Abstract
Groups experience collective autonomy restriction whenever they perceive that other groups attempt to limit the freedom of their group to determine and express its own identity. We argue that collective autonomy restriction motivates groups (both structurally advantaged and disadvantaged) to improve their power position within the social hierarchy. Four studies spanning real-world (Studies 1 and 2) and lab-based (Studies 3 and 4) intergroup contexts supported these ideas. In Study 1 (N = 311), Black Americans' (a relatively disadvantaged group) experience of collective autonomy restriction was associated with greater support for collective action, and less system justification. In Study 2, we replicated these findings with another sample of Black Americans (N = 292). We also found that collective autonomy restriction was positively associated with White Americans' (a relatively advantaged group, N = 294) support for collective action and ideologies that bolster White's dominant position. In Study 3 (N = 387, 97 groups), groups that were susceptible to being controlled by a high-power group (i.e., were of low structural power) desired group power more when their collective autonomy was restricted (vs. supported). In Study 4 (N = 803, 257 groups) experiencing collective autonomy restriction (vs. support) increased low-power group members' support of collective action, decreased system justification, and evoked hostile emotions, both when groups were and were not materially exploited (by being tasked with more than their fair share of work). Across studies, we differentiate collective autonomy restriction from structural group power, other forms of injustice, group agency, and group identification. These findings indicate that collective autonomy restriction uniquely motivates collective behavior. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".