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Record W3198770431 · doi:10.5014/ajot.2021.75s2-po303

Development of a Combined Group and Individual Intervention to Promote Work Integration and Job Tenure for People With Borderline Personality Disorder

2021· article· en· W3198770431 on OpenAlexaff
Nadine Larivière, Kathy Dahl, Marc Corbière

Bibliographic record

VenueAmerican Journal of Occupational Therapy · 2021
Typearticle
Languageen
FieldPsychology
TopicPersonality Disorders and Psychopathology
Canadian institutionsUniversité du Québec à MontréalInstitut Universitaire en Santé Mentale de QuébecUniversité de Sherbrooke
Fundersnot available
KeywordsBorderline personality disorderIntervention (counseling)PsychologyPersonalityOccupational therapyPersonality disordersClinical psychologyPsychotherapistPsychiatrySocial psychology

Abstract

fetched live from OpenAlex

Date Presented 04/19/21 Work participation is a documented occupational challenge in people with borderline personality disorder (BPD; Dahl et al., 2017; Lariviére et al., 2010, Cramer et al., 2006). Currently, there is no comprehensive intervention for this clientele regarding work reintegration and job tenure. The goal of this project is to develop an original intervention combining a literature review, clinical expertise, and lived experiences of persons with BPD. Primary Author and Speaker: Nadine Larivière Contributing Authors: Kajsa Lidstroem Holmqvist, Afsaneh Roshanai, Patrik Arvidsson, Gunnel Janeslött, Suzanne Marie White, and Marie Holmefur

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)0.002
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.001

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 head0.042
GPT teacher head0.359
Teacher spread0.317 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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