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Record W1825593564 · doi:10.1037/pspi0000019

From “we” to “me”: Group identification enhances perceived personal control with consequences for health and well-being.

2015· article· en· W1825593564 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Personality and Social Psychology · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Intergroup Psychology
Canadian institutionsCarleton University
FundersAustralian Research CouncilCanadian Institute for Advanced Research
KeywordsPsychologySocial psychologyIdentification (biology)Control (management)Social identity theoryGroup identificationPersonal identitySocial groupIdentity (music)Personal developmentDevelopmental psychologySelf-conceptPsychotherapist

Abstract

fetched live from OpenAlex

There is growing recognition that identification with social groups can protect and enhance health and well-being, thereby constituting a kind of "social cure." The present research explores the role of control as a novel mediator of the relationship between shared group identity and well-being. Five studies provide evidence for this process. Group identification predicted significantly greater perceived personal control across 47 countries (Study 1), and in groups that had experienced success and failure (Study 2). The relationship was observed longitudinally (Study 3) and experimentally (Study 4). Manipulated group identification also buffered a loss of personal control (Study 5). Across the studies, perceived personal control mediated social cure effects in political, academic, community, and national groups. The findings reveal that the personal benefits of social groups come not only from their ability to make people feel good, but also from their ability to make people feel capable and in control of their lives.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.385
Threshold uncertainty score0.477

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.059
GPT teacher head0.408
Teacher spread0.348 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it