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Record W4364378726 · doi:10.1177/13634607231168992

Queerly departed: Queer viral socialities and Caribbean migrant desires

2023· article· en· W4364378726 on OpenAlexafffundabout
David A. B. Murray

Bibliographic record

VenueSexualities · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsYork University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsQueerGender studiesSubjectivitySociologyIntersectionalitySociality

Abstract

fetched live from OpenAlex

In this paper I explore the transnational journeys of a group of queer HIV positive (HIV+) Caribbean migrants moving between Canada and the Caribbean. I focus on queer orientations and viral statuses as key nodes of subjectivity and/or sociality that may combine in different ways to produce (re)orientations (qua Ahmed 2006) and new social relationships-queer viral socialities-that generate migratory desires and journeys across transnational borders. However, queer HIV+ migrants from Global South locations like the Caribbean often encounter difficulties crossing Global North borders designed to facilitate entry for select categories of acceptable migrants. Acknowledging the productive yet unpredictable interactions of queer viral orientations and socialities that generate migratory desires and journeys alongside the harsh surveillance and disciplinary actions of nation-states' border security regimes draws attention to the intersectionality and complexity of subjectivities, socialities, desires, and movements of queer HIV+ Caribbean migrants specifically, and transnational migrants more generally as they navigate the barriers and inequities of state migration apparatuses.

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)0.002
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 score0.321
Threshold uncertainty score0.639

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0080.007
Scholarly communication0.0050.002
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.038
GPT teacher head0.326
Teacher spread0.288 · 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
Published2023
Admission routes3
Has abstractyes

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