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Record W7165058724 · doi:10.5281/zenodo.20734428

Pourquoi ai-je quitté? : Autoethnographie d'une intervenante de soutien direct en trouble grave du comportement (TGC)

2025· article· fr· W7165058724 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Languagefr
FieldPsychology
TopicTransactional Analysis in Psychotherapy
Canadian institutionsUniversité de MontréalRéseau National d'Expertise en Trouble du Spectre de l'AutismeUniversité du Québec à Montréal
Fundersnot available
KeywordsContext (archaeology)Relation (database)Disconnection

Abstract

fetched live from OpenAlex

Cet article propose une autoethnographie sur mon expérience en tant qu’intervenante de soutien direct auprès de personnes en situation de trouble grave du comportement (TGC). À travers l’analyse de mon parcours, j’examine les facteurs systémiques et organisationnels ayant mené à mon départ, ainsi que ceux ayant soutenu mon engagement. L’exposition répétée à la violence, la surcharge émotionnelle et professionnelle, le manque de soutien et l’absence de reconnaissance ont fragilisé ma trajectoire professionnelle. À l’inverse, la relation avec les usager⋅ères et l’appui inspirant de certaines gestionnaires ont été des sources de sens et de motivation. Notre analyse repose sur une reconstruction rétrospective de mon parcours, tout en s’articulant autour du modèle écosystémique (Bronfenbrenner & Cole, 1979) et du concept de bien-être psychologique au travail (Dagenais-Desmarais, 2010). Ce récit met en lumière les tensions entre la santé psychologique au travail et les dynamiques organisationnelles. En prenant appui sur mon expérience, cette réflexion vise à ouvrir un dialogue sur le bien-être des intervenants en soutien direct en TGC et sur la nécessité de transformations structurelles pour prévenir l’épuisement et améliorer la rétention du personnel. English version This article presents an autoethnography on my experience as a direct support professional working with individuals in situations of severe challenging behavior (SCB). Through an analysis of my professional journey, I examine the systemic and organizational factors that led to my departure, as well as those that sustained my commitment. Repeated exposure to violence, emotional and professional overload, lack of support, and the absence of recognition undermined my professional path. In contrast, my relationships with clients and the inspiring support of certain managers were sources of meaning and motivation. Our analysis is based on a retrospective reconstruction of my professional trajectory, grounded in the eco-systemic model and the concept of psychological well-being at work (Dagenais-Desmarais & Privé, 2010). The narrative highlights the tensions between psychological health in the workplace and organizational dynamics. Drawing on my experience as a direct support professional, this reflection seeks to open a dialogue about the well-being of workers in SCB settings and on the need for structural changes to prevent burnout and improve staff retention.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.882
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0460.008

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 head0.319
Teacher spread0.292 · 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