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Record W4366678674 · doi:10.3138/cjpe.0017.004

Validation d’une version française du Outcome Questionnaire et évaluation d’un service de counselling en milieu clinique

2003· article· en· W4366678674 on OpenAlexaffvenueabout
Robert J. Flynn, Tim Aubry, Sophie Guindon, Isabelle Tardif, Monique Viau, Anne Gallant

Bibliographic record

VenueCanadian Journal of Program Evaluation · 2003
Typearticle
Languageen
FieldPsychology
TopicCounseling Practices and Supervision
Canadian institutionsCégep de l'OutaouaisUniversity of Ottawa
Fundersnot available
KeywordsInternal consistencyPsychologyClinical psychologyPsychometricsMedicineFamily medicine

Abstract

fetched live from OpenAlex

Abstract: The first purpose of this study was to assess the psychometric quality and validity of the Mesure d’Impact-45 (MI-45) and the Mesure d’Impact-22 (MI-22), French translations of 45-item and 22-item versions, respectively, of the Outcome Questionnaire. The second purpose was to evaluate, by means of the MI-22, a French-language counselling program located in a clinical setting in Quebec, which provided additional information on the sensitivity to change and clinical utility of the MI-22. Eleven counsellors served a total of 216 clients (80% women) during the period of the study. The MI-22 had good internal consistency (coefficient alpha = .88) and correlated well with a criterion measure, the SCL-10, a short form of the SCL-90-R. Ninety clients who had taken part in at least eight counselling sessions made clinically and statistically significant progress. Of 107 clients completing counselling during the study period, 37% recovered, 29% improved, 24% experienced no change in functioning, and 10% deterioriated. Seventy clients who had completed a post-counselling telephone interview expressed a high level of satisfaction with the program, while also making suggestions for service improvement. The MI-22 was seen as useful by both clients and counsellors.

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.

How this classification was reachedexpand

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)0.017
metaresearch head score (Gemma)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.856
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0170.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.102
GPT teacher head0.403
Teacher spread0.302 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designOther design
Domainnot available
GenreEmpirical

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".

Quick stats

Citations5
Published2003
Admission routes3
Has abstractyes

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