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Record W4252777818 · doi:10.22215/etd/2021-14569

It Takes A Village: A Comprehensive Look into Sheltering Queer Youth

2021· dissertation· en· W4252777818 on OpenAlexaff
Stephanie Chretien

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsCarleton University
Fundersnot available
KeywordsQueerSpace (punctuation)SociologyVisibilityIdentity (music)Gender studiesMental healthSet (abstract data type)Public relationsPolitical sciencePsychologyGeographyArtAesthetics

Abstract

fetched live from OpenAlex

Of the many hardships that LGBTQ2S youth experience, the biggest may be homelessness.Children flee their homes for many reasons, including mental health issues, discrimination, and conflicts with parents.Finding a supportive and inclusive space where they can explore their identity and feel protected can be difficult when there are few resources to meet their needs.As a large proportion of homeless youth identifies asLGBTQ2S, this thesis envisions a consolidated set of facilities and services, coupled with a center that serves and galvanizes the broader queer community.The project explores inclusivity and visibility through the design of a combination community center and emergency shelter for queer youth in the heart of Ottawa's gay village -with an ancillary component that provides permanent supportive housing.Among other questions, this thesis explores how architecture can assist in creating spaces where all feel welcomed and safe and how it might facilitate community formation.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.133
Threshold uncertainty score0.264

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0160.002
Scholarly communication0.0030.004
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0070.000

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 head0.063
GPT teacher head0.421
Teacher spread0.358 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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