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Record W2803911671 · doi:10.20381/ruor-21972

Contextualizing Aquatic Rehabilitative Practices in Canada

2018· dissertation· en· W2803911671 on OpenAlexaboutno aff
A. Daniel Ashton

Bibliographic record

VenueUniversity of Ottawa - Library · 2018
Typedissertation
Languageen
FieldSocial Sciences
TopicEducation, Law, and Society
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyEnvironmental planningPolitical science

Abstract

fetched live from OpenAlex

This thesis explored the current context of aquatic rehabilitative practices in Canada. More specifically, three inter-related topics on Aquatic Therapy (AT) and Aquatic Physical Therapy (APT) in Canada were examined: 1) the development of knowledge, training and expertise on APT and AT, 2) recognition and acceptance of cultural and social authority on AT and APT (Starr, 1982), and 3) the practitioners’ perceptions of barriers to practicing and participation in aquatic therapy. Semi-structured qualitative interviews were conducted with seven (7) stakeholders including Ontario aquatic physical therapists, aquatic therapists, instructors on aquatic therapy and members of the College of Physiotherapy of Ontario (CPO) and the Canadian Physiotherapy Association (CPA). Interviews were complimented with open-ended questionnaires sent to Chairs of Physical Therapy programs in seven Canadian Universities. Our research identified the most common means of acquiring knowledge on aquatic rehabilitative practices was through University Physiotherapy program curriculum; private training courses; and in-house within facilities where aquatic therapists and aquatic physical therapists are employed. This thesis also examined facilitators/barriers to practicing and receiving aquatic therapy and aquatic physical therapy. Through critical analysis, this thesis reflected on the ways in which social and cultural authority (Starr, 1982) are constructed within the field of aquatic therapy (AT) and aquatic physical therapy (APT). Recommendations and areas for future research included specialized training courses by scope of practice, and increased in-pool practicum training within Physiotherapy programs in Canada.

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)0.007
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: Empirical
Teacher disagreement score0.180
Threshold uncertainty score0.951

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.005
Science and technology studies0.0270.009
Scholarly communication0.0060.002
Open science0.0020.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.021
GPT teacher head0.287
Teacher spread0.266 · 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
Published2018
Admission routes1
Has abstractyes

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