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Record W2789775168

SELF-COMPASSION AND PROACTIVE COPING: MOVING BEYOND ORDINARY TO EXTRAORDINARY COPING

2018· article· en· W2789775168 on OpenAlex
Sonia Abbondandolo, Matthew Sigal

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAmerican Journal of Educational Research · 2018
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsSimon Fraser UniversityYork University
Fundersnot available
KeywordsPsychologyCoping (psychology)Cronbach's alphaSelf-compassionCompassionClinical psychologyPsychometricsMindfulness
DOInot available

Abstract

fetched live from OpenAlex

We investigated the relationship between self-compassion and proactive coping. Participants were 99 undergraduate students at a Toronto university who completed two questionnaires: the Self-Compassion Scale and the Proactive Coping Inventory. As a significant positive correlation was found between the two scales, our results supported the hypothesis that individuals high in self-compassion cope proactively during difficult times. Moreover, among the varying types of coping styles, proactive coping best predicted self-compassion, although emotional support seeking also seems to play an important role. An additional outcome of this study was to assess the validity of the Proactive Coping Inventory with a new sample. It was found to be internally consistent in terms of both Cronbach’s alpha and the pattern of correlations among the seven subscales.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.583
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.000

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 head0.081
GPT teacher head0.462
Teacher spread0.381 · 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