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Record W3046216399 · doi:10.5014/ajot.2020.74s1-po2715

French-Canadian Adaptation of Lifestyle Redesign® for Chronic Pain Management: A Pre-Experimental Pilot Study

2020· article· en· W3046216399 on OpenAlexaffabout
Émilie Lagueux, Mélanie Levasseur, Yannick Tousignant‐Laflamme, Andréa Dépelteau, Raphaël Pagé, Anne-Marie Pinard, Marie‐Hélène Lévesque, Julie Massé

Bibliographic record

VenueAmerican Journal of Occupational Therapy · 2020
Typearticle
Languageen
FieldHealth Professions
TopicHealth, Medicine and Society
Canadian institutionsUniversité LavalUniversité de MontréalCentre Hospitalier Universitaire de SherbrookeUniversité de Sherbrooke
Fundersnot available
KeywordsIntervention (counseling)Context (archaeology)Adaptation (eye)Chronic painPsychologyGerontologyPhysical therapyMedicineNursingHistory

Abstract

fetched live from OpenAlex

Date Presented 03/26/20 Lifestyle Redesign is a manualized OT intervention that has shown significant clinical benefits for people with chronic pain. This occupation-based intervention has been translated, adapted in French, and tested with French-Canadian patients in the context of the Canadian healthcare system. Primary Author and Speaker: Émilie Lagueux Additional Authors and Speakers: Julie Masse Contributing Authors: Mélanie Levasseur, Yannick Tousignant-Laflamme, Andréa Dépelteau, Raphaël Pagé, Anne-Marie Pinard, Marie-Hélène Lévesque

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: Non-randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.359
Threshold uncertainty score0.722

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.007
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0050.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.159
GPT teacher head0.450
Teacher spread0.291 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
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

Citations1
Published2020
Admission routes2
Has abstractyes

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