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Record W2588585218

Adapting the Islands of Safety Model for LGBTQ2S+ Communities

2016· dissertation· en· W2588585218 on OpenAlexaboutno aff
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Bibliographic record

VenueNational University System Repository (National University System) · 2016
Typedissertation
Languageen
FieldSocial Sciences
TopicPrivacy, Security, and Data Protection
Canadian institutionsnot available
Fundersnot available
KeywordsGeography
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this study was to gain initial feedback from lesbian, gay, bisexual, trans, queer, two-spirit and other gender and sexual minority (LGBTQ2S+) counsellors, social workers and anti-violence workers on the Islands of Safety response-based model and whether it could be used in LGBTQ2S+ communities. Online, asynchronous focus groups were conducted over the course of a week in February 2016 with 26 counsellors, social workers, psychiatric nurses, anti-violence workers and outreach workers from across a spectrum of genders, sexualities and ethnicities. Results showed that resistance and dignity were the most embraced response-based ideas. Focusing on both responses and impacts of violence was important. Including family of choice, using the client’s language for their gender and sexuality and not making assumptions about family structure and the gender of the primary parent was important. Participants who stated that they knew about or were connected to Métis and Indigenous cultures and politics supported working to bridge differences in genders and sexualities across cultures without changing the Islands of Safety model. Non-Indigenous, non-Métis LGBTQ+ health care practitioners need more training around Métis and Indigenous views of gender and family structure to contextualize the traditional view of family used in the model.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.975
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0050.000
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0010.000
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 head0.030
GPT teacher head0.254
Teacher spread0.224 · 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.

Study designTheoretical or conceptual
Domainnot available
GenreOther

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
Published2016
Admission routes1
Has abstractyes

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