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Record W2090180628 · doi:10.1177/1363460712439648

Mapping the hobosexual: A queer materialism

2012· article· en· W2090180628 on OpenAlexaff
Heather Tapley

Bibliographic record

VenueSexualities · 2012
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsQueerCapitalismMaterialismQueer theorySociologyNormativeNormalization (sociology)Gender studiesEpistemologySocial sciencePolitical scienceLawPhilosophy

Abstract

fetched live from OpenAlex

The following article introduces the hobosexual as a concept in queer materialism. Mapped at the intersection of not-for-profit hobo sex and labor practices historically, the hobosexual collapses the apparent impasse between the material and the symbolic so prevalent in queer studies. The concept represents the redeployment of queer as anti-capitalist practice; highlighted are the non-normative hobo practices of nonproductive expenditure, but also the recognition that these abnormalities are organized by capitalist systems of normalization designed to engender profit. The article also considers the degree to which industrial capitalism affected both hobo mobility and hobo anti-capitalist practice in the 19th century. Generated out of hobo history and queer as anti-capitalist practice, the hobosexual represents resistance to capitalist systems of normalization and enables connections, not necessarily between identities, but between anti-capitalist practices generated out of difference.

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)0.004
metaresearch head score (Gemma)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0140.068
Scholarly communication0.0080.008
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0080.001

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 head0.133
GPT teacher head0.389
Teacher spread0.255 · 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

Citations22
Published2012
Admission routes1
Has abstractyes

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