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Record W2892222731

The Debate: Is it time to reconsider framing our work as therapy?: Developing the profession of Occupational Therapy

2018· article· en· W2892222731 on OpenAlexaff
Helene J. Polatajko, Jennifer Creek, Jane A. Davis, Debra Cameron, Kit Sinclair, Tove Lise Nielsen

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsFraming (construction)Occupational therapyWork (physics)Political scienceEngineering ethicsMedicineEngineeringPhysical therapyMechanical engineering
DOInot available

Abstract

fetched live from OpenAlex

Through much of the 20th century, occupational therapists around the world, privately and publicly, debated the relevance of the word occupation to name our profession. By the end of that century a renewed commitment to occupation as our professional focus, our main domain of concern, emerged. New a new debate is emerging: occupational therapists are beginning to question the appropriateness of the word therapy as the descriptor of our professional work. This workshop will bring this issue into our professional forum for debate. This workshop will take the form of a formal debate on the motion: ‘This house believes that it is time to reconsider framing our work as therapy’. Learning objectives: 1. Reflect on the meaning of our profession’s title: occupational therapy 2. Recognize the implications of identifying ourselves as therapists in today’s world 3. Reach a decision about the appropriateness of calling ourselves occupational therapists Teaching methods: The session will be structured as a formal moderated debate: argued by a proposer and opponent and two seconders each, lasting 60 minutes. At the beginning, the moderator will ask the audience to vote on the motion. The format will be as follows: the proposer speaks to the motion for seven minutes; the opposer speaks against the motion for seven minutes; the four seconders speak in turn for three minutes each, for and against the motion; the moderator invites contributions from the audience for a maximum of one minute each, and the debate ends with a final vote.

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)0.082
metaresearch head score (Gemma)0.091
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.082
Threshold uncertainty score0.434

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0820.091
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.003
Science and technology studies0.0280.075
Scholarly communication0.0560.058
Open science0.0060.020
Research integrity0.0360.048
Insufficient payload (model declined to judge)0.0100.005

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 head0.323
GPT teacher head0.552
Teacher spread0.229 · 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

Citations1
Published2018
Admission routes1
Has abstractyes

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