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Record W4226342966 · doi:10.13096/rfre.v7n2.198

Sustainable professional practices of occupational therapists from Quebec

2021· article· en· W4226342966 on OpenAlexaffabout
Valérie Lafond, Marie-Josée Drolet

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2021
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsBusiness

Abstract

fetched live from OpenAlex

Les changements climatiques constituent la plus grande menace contemporaine à la santé du 21e siècle (Organisation mondiale de la santé, 2015). Il est dorénavant plus facile d’en identifier la cause exacte grâce aux recherches de plus en plus nombreuses sur le sujet. Dans son cinquième rapport, le Groupe d’experts intergouvernementaux sur l’évolution du climat (2014) affirme que les changements climatiques sont principalement dus aux occupations humaines. Considérant que les ergothérapeutes sont des experts en habilitation aux occupations, il s’ensuit qu’ils sont concernés par ces changements et qu’ils ont possiblement un rôle à jouer dans la lutte contre ceux-ci. L’objectif de la recherche était de décrire les pratiques (micro, méso et macro) actualisées ou envisagées par des ergothérapeutes francophones du Québec pour favoriser le développement durable au sein de la profession. Pour atteindre cet objectif, une enquête web a été réalisée à laquelle 29 ergothérapeutes du Québec ont participé. L’étude a permis d’identifier de nombreuses pratiques durables actualisées par ces ergothérapeutes, lesquelles se déclinent en douze catégories distinctes appartenant aux différents domaines du cadre théorique éthique de Glaser (1994), ainsi que des pratiques durables envisagées. Cette étude novatrice rend compte du fait que plusieurs ergothérapeutes québécois sont des agents de changement dans leur milieu de pratique. Considérant que les droits occupationnels des clients de demain risquent d’être compromis, si le climat continue de se dérégler, les résultats de cette recherche ont le potentiel d’outiller les ergothérapeutes désireux d’écoresponsabilité à mettre en place des pratiques durables dans leur pratique professionnelle. _____________________________________________________________________________________________________________________ Climate change is the greatest threat to health in the 21st century (World Health Organization, 2015). It is now easier to identify the exact cause thanks to the increasing research on the subject. In its fifth report, the Intergovernmental Panel on Climate Change (2014) argues that climate change is mainly due to human occupations. Considering that occupational therapists are specialists of human occupations, it follows that they are concerned by these changes and that they possibly have a role to play in fighting against them. The objective of the research was to describe the practices (micro, meso and macro) implemented or considered by French-speaking occupational therapists from Québec to promote sustainable development within the profession. To achieve this objective, a Web survey was realized in which 29 occupational therapists from Québec participated. The study identified many implemented sustainable practices by these occupational therapists, which can be divided in twelve distinct categories belonging to different areas of Glaser’s ethical theoretical framework (1994), as well as other considered sustainable practices. This innovative study reveals the fact that many occupational therapists from Québec are change agents in their practice. Considering that the occupational rights of tomorrow’s clients are at risk of being compromised if the climate continues to disrupt, the results of this research have the potential to help occupational therapists desiring eco-responsibility to implement sustainable practices in their professional practice.

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)0.005
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 score0.066
Threshold uncertainty score0.481

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0140.003
Scholarly communication0.0040.001
Open science0.0020.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.001

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 head0.514
GPT teacher head0.707
Teacher spread0.193 · 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".

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Citations1
Published2021
Admission routes2
Has abstractyes

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