Facing social identity change: Interactive effects of current and projected collective identification on expectations regarding future self‐esteem and psychological well‐being
Bibliographic record
Abstract
We hypothesized that prospective changes in social identity that involve transitioning out of a currently valued group would be associated with negative expectations regarding future states, but that this effect would be mitigated among individuals who expect to belong to a future in-group of similar importance. Consistent with predictions, strongly identified young adults in two studies projected significantly lower self-esteem/psychological well-being in old age than weakly identified young adults. Critically, however, this effect was fully attenuated if they expected to identify with their future aged in-group when they were old. Study 2 showed that the capacity for projected identification to buffer projected well-being among strongly identified young adults was contingent on their membership in the future in-group being highly salient. Analyses of participants' written descriptions of old age (Study 1) and a valence manipulation (Study 2) indicated that these effects were not attributable to the anticipated valence of future selves/states, but rather to the value placed on current and future group memberships.
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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 | 0.006 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".