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Record W2913538129 · doi:10.7202/1058250ar

Sexuality in Rehabilitation: Supporting Canadian Practitioners Conceptually Towards Client Enablement

2019· article· en· W2913538129 on OpenAlexaffvenueabout
Kevin Reel, Sylvia Davidson

Bibliographic record

VenueCanadian Journal of Bioethics · 2019
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsBaycrest HospitalUniversity of Toronto
Fundersnot available
KeywordsSexologyHuman sexualityScope (computer science)Subject (documents)RehabilitationScope of practicePsychologyPlan (archaeology)Engineering ethicsNursingComputer scienceApplied psychologyMedicineSociologyHealth carePolitical scienceGender studiesWorld Wide WebEngineering

Abstract

fetched live from OpenAlex

This article explores the many dimensions of sex which result in very strong moral and ethical responses. In support of practitioners who wish to feel more comfortable and competent discussing sexual matters, the article then introduces a hybrid conceptual model of practice. Combining one model originally from sexology and another from occupational therapy, the Ex-PLISSIT Enablement Model offers a flexible, progressively-staged framework to guide practitioners toward a plan to better understand and work within their own scope while also assessing if clients are ready and willing to engage with the subject to varying degrees.

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)0.017
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.144
Threshold uncertainty score0.503

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.027
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0270.017
Scholarly communication0.0100.005
Open science0.0030.014
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0060.000

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 head0.151
GPT teacher head0.501
Teacher spread0.350 · 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 designTheoretical or conceptual
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

Citations3
Published2019
Admission routes3
Has abstractyes

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