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Record W4229440444 · doi:10.1080/14473828.2022.2052623

Platinum anniversary – 70 years of highlights and influences of the World Federation of Occupational Therapists

2022· article· en· W4229440444 on OpenAlexaff
Marilyn Pattison, Carol McKinstry, D. L. Cox, Graeme Boniface, Neil McLennan

Bibliographic record

VenueWorld Federation of Occupational Therapists Bulletin · 2022
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsOccupational therapyMedicineWork (physics)Political scienceManagementPhysical therapyEngineeringMechanical engineeringEconomics

Abstract

fetched live from OpenAlex

The World Federation of Occupational Therapists (WFOT) was inaugurated in 1952 (Paterson, C. F. (1994). The First International Congress of the World Federation of Occupational Therapists—Edinburgh, 1954. British Journal of Occupational Therapy, 57(4), 116–120) and celebrates its 70th anniversary in 2022. The last 70 years have seen the growth and development of occupational therapy globally, with WFOT growing from 10 to 105 member organisations. While the important core principle of occupational activity (occupations) in our daily lives has remained constant in those 70 years, the approach, and how we do them has changed. As occupational therapists we have continued to adapt and change to meet the needs of the societies and cultures in which we work. The primary aim of this paper is to share some of the major highlights of the past 70 years, outlining the influences as reflected in the ongoing business of WFOT.

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)0.006
metaresearch head score (Gemma)0.011
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: Empirical · Consensus signal: none
Teacher disagreement score0.029
Threshold uncertainty score0.098

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0040.003
Scholarly communication0.0090.006
Open science0.0020.008
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0290.014

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 head0.074
GPT teacher head0.409
Teacher spread0.335 · 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
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
Published2022
Admission routes1
Has abstractyes

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