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Record W4246522728 · doi:10.22215/etd/2021-14449

On Intimacies and Infrastructures: Sex Work and Spatial Politics

2021· dissertation· en· W4246522728 on OpenAlexaboutno aff
Alexandra Pereira-Edwards

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsnot available
Fundersnot available
KeywordsSex workSituatedPoliticsSex workersPower (physics)Reading (process)Space (punctuation)SociologyPublic spaceLegislationGender studiesWork (physics)Political scienceCriminologyLawEngineeringComputer science

Abstract

fetched live from OpenAlex

The city is constituted by overlapping networks of infrastructures and intimacies. These networks form the often-overlooked space of the everyday for many, yet for sex workers these networks have the capacity to reproduce patterns of violence and marginalization. A deep reading of Canadian sex work legislation exposes an interconnected web of power, policing, and exclusionary tactics with harmful repercussions—essentially making it illegal for sex workers to exist in either "public" or "private" spaces as defined by Western logic. Situated within sex-positive feminist discourse and an ongoing infrastructural turn across disciplines, this thesis utilizes writing and drawing methods to engages sex work as a lens through which to assess acceptable forms of intimacy within the space of the city, and to recognize numerous affective infrastructural networks that subvert dominant stigmas associated with the profession.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.071
Threshold uncertainty score0.141

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0170.072
Scholarly communication0.0140.007
Open science0.0010.008
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.007
GPT teacher head0.292
Teacher spread0.285 · 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 designNot applicable
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
Published2021
Admission routes1
Has abstractyes

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