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Record W4321387247 · doi:10.52214/gsjp.v17i.10917

The Process of Valuing and Subjective Well-Being for Trainees

2018· article· en· W4321387247 on OpenAlex
Robin Grumet, Marilyn Fitzpatrick, Lauren Yildirim, Bethsheba Ananng, Megan Knoll

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.

Bibliographic record

VenueGraduate Student Journal of Psychology · 2018
Typearticle
Languageen
FieldPsychology
TopicHuman Resource Development and Performance Evaluation
Canadian institutionsMcGill University
Fundersnot available
KeywordsProcess (computing)PsychologyComputer science

Abstract

fetched live from OpenAlex

The current qualitative research investigated the process of valuing from an Acceptance and Commitment Therapy perspective, as well as the influence of this process on subjective well-being in novice therapists. Sixteen MA Counseling Psychology students participated in a three-hour workshop that involved didactic and experiential components aimed at facilitating values clarity and values congruent living. A semi-structured interview explored values clarity, behavioral congruence, as well as well-being, including both mood and life satisfaction. Consensual Qualitative Research was used to analyze the interview data. Findings indicated that the values clarification process is complex and challenging, and that structured interventions support this process. Work demands were a particularly salient barrier to valued living for trainees. The valuing process influenced mood more than life satisfaction and was related to eudaimonic, but not hedonic pursuits. Implications for theory, practice, supervision, and future research are provided.

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 score0.723
Threshold uncertainty score0.324

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 science0.0000.000
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 head0.435
Teacher spread0.376 · 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