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Record W2154275170 · doi:10.1037/a0013451

Healing the wounds of organizational injustice: Examining the benefits of expressive writing.

2009· article· en· W2154275170 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 Applied Psychology · 2009
Typearticle
Languageen
FieldPsychology
TopicMental Health via Writing
Canadian institutionsUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of CanadaWilfrid Laurier University
KeywordsInjusticePsychologyAngerPsychological interventionSocial psychologyIntervention (counseling)Health psychologyApplied psychologyClinical psychologyPublic healthPsychiatryNursing

Abstract

fetched live from OpenAlex

Clinical and health psychology research has shown that expressive writing interventions-expressing one's experience through writing-can have physical and psychological benefits for individuals dealing with traumatic experiences. In the present study, the authors examined whether these benefits generalize to experiences of workplace injustice. Participants (N = 100) were randomly assigned to write on 4 consecutive days about (a) their emotions, (b) their thoughts, (c) both their emotions and their thoughts surrounding an injustice, or (d) a trivial topic (control). Post-intervention, participants in the emotions and thoughts condition reported higher psychological well-being, fewer intentions to retaliate, and higher levels of personal resolution than did participants in the other conditions. Participants in the emotions and thoughts condition also reported less anger than did participants who wrote only about their emotions.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.848
Threshold uncertainty score0.502

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.048
GPT teacher head0.378
Teacher spread0.330 · 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