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Record W2965082834

Risky business: a narrative inquiry of male child and youth care practitioners' use of therapeutic touch

2019· dissertation· en· W2965082834 on OpenAlexaboutno aff
Christopher Bennett

Bibliographic record

VenueUVic’s Research and Learning Repository (University of Victoria) · 2019
Typedissertation
Languageen
FieldPsychology
TopicChild Therapy and Development
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativePsychologyNarrative inquiryMedical educationDevelopmental psychologyMedicinePedagogyArtLiterature
DOInot available

Abstract

fetched live from OpenAlex

Male child and youth care (CYC) practitioners have rarely been queried about how, or if, they use therapeutic touch (TT) with clients. A significant amount of literature suggests that TT with children and youth can have a positive impact on development, social, emotional and physical wellbeing, and a reduction of aggressive behaviour. However, for male practitioners, using caring touch with clients grows ever more precarious given the increased perception that they are vulnerable to allegations of misconduct and concern that touching clients could be triggering. This narrative inquiry examines how male CYC practitioners make sense of, and engage in, the use of therapeutic touch. Through interviews of five men from Vancouver Island, British Columbia, stories were collected about experiences, values, and personal histories to discover how they were informed about and navigate therapeutic touch with clients. Four themes were identified including, the story of patriarchy, fear, vulnerability and connection. How participants approach their use of therapeutic touch was found to depend on early life experiences, important life events, anecdotal evidence that reinforced fears about using touch, and the current social and political culture such as the #metoo movement. This study also finds that more research, dialogue and training is needed in order for male CYC practitioners to feel safe and competent to use therapeutic touch in a way that is beneficial for clients.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.202
Threshold uncertainty score0.878

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.041
GPT teacher head0.311
Teacher spread0.270 · 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 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

Citations0
Published2019
Admission routes1
Has abstractyes

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