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Record W2902372966 · doi:10.1080/14927713.2018.1535276

‘You can see their minds grow’: identity development of LGBTQ youth at a residential wilderness camp

2018· article· en· W2902372966 on OpenAlexaffvenue
Fenton Litwiller

Bibliographic record

VenueLeisure/Loisir · 2018
Typearticle
Languageen
FieldPsychology
TopicRecreation, Leisure, Wilderness Management
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsQueerWildernessTransgenderLesbianInclusion (mineral)Extant taxonGender studiesQualitative researchPsychologyFocus groupIdentity (music)HomosexualityMeaning (existential)SociologyPsychotherapistAestheticsArtSocial scienceEcology

Abstract

fetched live from OpenAlex

There is a substantial literature on the meaning of residential wilderness camps for youth and the benefits that they experience as a result of these camps. However, there is little work that details the experiences of Lesbian, Gay, Bisexual, Transgender, and Queer (LGBTQ) youth at camps that are specifically designed for them and run by LGBTQ staff. Two focus groups were held at an LGBTQ camp and qualitative data analysis was undertaken. Results indicate support for the extant camp literature through positive identity development, experiences of social inclusion as well as support for cultivating positive attitudes toward physical activity. There was a lack of evidence to support increased spiritual connections and environmental awareness, possibly due to emphasizing programming around queer issues rather than intentionally programming nature-based activities and facilitating spiritual connections.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.024
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0070.004
Scholarly communication0.0040.002
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.034
GPT teacher head0.298
Teacher spread0.263 · 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

Citations19
Published2018
Admission routes2
Has abstractyes

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