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Record W3042435590 · doi:10.4324/9781003116639-4

History of Australian occupational therapy

2020· book-chapter· en· W3042435590 on OpenAlexaboutno aff
Anne Cusick

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
Fundersnot available
KeywordsOccupational therapyMedicinePhysical therapy

Abstract

fetched live from OpenAlex

The indisputability of Aboriginal and Torres Strait Islanders as First Australians is acknowledged, as is the need for redress, reconciliation and collaboration to improve health outcomes. This chapter presents a chronology of ideas, events and developments that show how occupation treatments of the nineteenth century turned into a new rehabilitation approach called ‘occupational therapy’ in the twentieth century. Occupational therapy delivered by trained occupational therapists had already been recognised as an effective treatment in the USA, Canada and the United Kingdom. The pioneers introduced occupational therapy to the following specialisations by the end of the 1930s: physical rehabilitation, paediatric, psychiatric and acute general medical services. The Australian military decided to appoint only qualified occupational therapists, as in the United States Army. In education, the binary system gathered pace in the 1970s. Multidisciplinary colleges and faculties meant occupational therapy was collaborating and competing with other disciplines for resources, status and students.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.053
Threshold uncertainty score0.105

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0060.003
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0230.008

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 head0.454
GPT teacher head0.503
Teacher spread0.050 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2020
Admission routes1
Has abstractyes

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