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Record W2138388715 · doi:10.1177/1012690209104795

`We Have all theBases Covered'

2009· article· en· W2138388715 on OpenAlexaffabout
Nancy Théberge

Bibliographic record

VenueInternational Review for the Sociology of Sport · 2009
Typearticle
Languageen
FieldMedicine
TopicSports injuries and prevention
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsChiropracticRationalization (economics)Context (archaeology)Face (sociological concept)AthletesMedical educationAlternative medicinePsychologyMedicineSociologyPolitical sciencePhysical therapySocial scienceLaw

Abstract

fetched live from OpenAlex

Three professions that figure prominently in sport medicine in Canada are athletic therapy, physiotherapy and chiropractic. These professions are characterized by blurred occupational boundaries, arising from overlap in the content of practice and differences within the professions in the skills of individual practitioners. Accordingly, they face challenges in establishing jurisdiction over professional practice. This article examines the claims made by practitioners in these professions about the contributions of their own profession and how it is different from the others. The analysis draws upon interviews with 33 practitioners. Findings indicate that physiotherapy is positioned as the profession against which athletic therapists and chiropractors each locate themselves. Athletic therapists argue they are the sport specialists; this is challenged by the development of sport specializations in physiotherapy and chiropractic. Chiropractors assert specialized knowledge that enables them to contribute to athletes' performance. The increasing rationalization of sport provides a context in which chiropractors' assertions to contribute to performance offers a particularly meaningful basis for claiming a position in sport medicine.

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)0.021
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.088
Threshold uncertainty score0.293

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.021
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0080.009
Scholarly communication0.0070.008
Open science0.0020.007
Research integrity0.0060.009
Insufficient payload (model declined to judge)0.0880.036

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 head0.040
GPT teacher head0.391
Teacher spread0.351 · 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

Citations24
Published2009
Admission routes2
Has abstractyes

Explore more

Same venueInternational Review for the Sociology of SportSame topicSports injuries and preventionFrench-language works237,207