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Record W7017558168

Assessing the relative perspective of the regulation of kinesiologists among other health professionals / by Kerry Braniff.

2017· dissertation· en· W7017558168 on OpenAlexaboutno aff

Bibliographic record

VenueKnowledge Commons (Lakehead University) · 2017
Typedissertation
Languageen
FieldMedicine
TopicMusculoskeletal Disorders and Rehabilitation
Canadian institutionsnot available
Fundersnot available
KeywordsKinesiologyMultidisciplinary approachHealth professionalsScope (computer science)StakeholderHealth careHealth professionsPerspective (graphical)Perception
DOInot available

Abstract

fetched live from OpenAlex

Kinesiology as a profession is in a state of transition in the Province of Ontario, formerly a self governed profession it has recently been designated a regulated profession under the Regulated Health Professions Act (1991). The acceptance and utilization of kinesiology by stakeholder communities is essential to the future viability of the profession. An 18 question computer generated survey was used to collect information to identify perceptions about kinesiology within the existing health care sector. A SWOT
\n(strengths, weaknesses, opportunities and threats) framework was used to analyze the data. The data indicated that as a regulated profession kinesiology provides a unique expertise adding to client and patient care and is a needed partner within the multidisciplinary health environment. The data also indicated that, despite the need for the profession to clearly define, delineate, and promote its scope of practice to professionals and the public, there are increased opportunities that exist within the health
\ncare sector, particularly in chronic disease prevention. The profession is not considered a threat by existing key stakeholders.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.474
Threshold uncertainty score0.983

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.027
GPT teacher head0.343
Teacher spread0.315 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2017
Admission routes1
Has abstractyes

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