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Record W2142119626 · doi:10.5014/ajot.62.3.349

Evolving Identities: Thomas Bessell Kidner and Occupational Therapy in the United States

2008· article· en· W2142119626 on OpenAlexaffabout
Judith Friedland, Jennifer Silva

Bibliographic record

VenueAmerican Journal of Occupational Therapy · 2008
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsOccupational therapyPromotion (chess)TRACE (psycholinguistics)Work (physics)Occupational scienceWindow of opportunityMedicinePolitical sciencePsychologyLawPoliticsPsychiatry

Abstract

fetched live from OpenAlex

A founder of the National Society for the Promotion of Occupational Therapy, Thomas Bessell Kidner (1866-1932) played a prominent role in the early development of occupational therapy in Canada and the United States. We describe Kidner's early life and how his work using occupations evolved. We then examine ideas and assumptions about occupations as treatment and trace Kidner's involvement through to his leadership role within the American Occupational Therapy Association. Through our analysis of primary and secondary source materials, we have extracted recurring themes and related them across and within the materials to discern Kidner's influence on the profession. From among his many contributions, three areas emerge as particularly relevant to current practice: occupational therapy's role in return to work, relationships with medicine, and the profession's image. Kidner's story gives us a window on our history and an opportunity to see how the profession has evolved.

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)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.084
Threshold uncertainty score0.167

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0250.011
Scholarly communication0.0080.007
Open science0.0010.005
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0070.001

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 head0.215
GPT teacher head0.489
Teacher spread0.275 · 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 designQualitative
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
Published2008
Admission routes2
Has abstractyes

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