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Record W2902601321

De l’appréhension à la distanciation : les expériences d’éducatrices qui interviennent auprès d’adolescentes placées en centre résidentiel

2018· article· en· W2902601321 on OpenAlexaboutno aff
Nadine Lanctôt, Mathilde Turcotte

Bibliographic record

VenueOpenEdition (OpenEdition) · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicParental Involvement in Education
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesSociologyPsychologyArt
DOInot available

Abstract

fetched live from OpenAlex

The current paper explores the experiences of youth care workers in the context of their relationships with adolescent girls placed in residential care. Qualitative semi-structured interviews were conducted with 11 youth care workers in two residential centers in the province of Quebec (Canada). Findings indicate that youth care workers intervening with adolescent girls placed in residential care experience a range of difficult and sometimes negative emotions. Furthermore, the complexity of youth’s needs and profiles, difficulties in engaging parents, and the pessimism of colleagues with regards to placement outcomes are important sources of doubts and concerns for youth care workers in their dealings with adolescent girls placed in residential care. While some youth care workers are confident enough to overcome such fears and still emotionally invest their relationships with adolescent girls, others were overwhelmed with apprehensions to the point of keeping adolescent girls at a distance or even withdrawing from the relationship. In general, our findings suggest the need to offer practitioners the support and the space to question their ‘psychological availability’ with regards to establishing and maintaining trust-based relationship with adolescent girls in residential care.

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 score0.093
Threshold uncertainty score0.185

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0110.012
Scholarly communication0.0050.002
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.026
GPT teacher head0.309
Teacher spread0.283 · 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

Citations2
Published2018
Admission routes1
Has abstractyes

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