MétaCan
Menu
Back to cohort
Record W4200399520 · doi:10.1080/23268743.2021.2005907

Deplatforming Sex: a roundtable conversation

2021· article· en· W4200399520 on OpenAlex
Danielle Blunt, Stefanie Duguay, Tarleton Gillespie, Sinnamon Love, Clarissa Smith

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePorn Studies · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsConcordia University
Fundersnot available
KeywordsConversationLegislatureSex workersPsychologyPolitical sciencePublic relationsSociologyLawCommunicationDemography

Abstract

fetched live from OpenAlex

Hosted by Northumbria and Birmingham City Universities, the Deplatforming Sex roundtable took place via Teams in October 2021. Participants included Danielle Blunt, Stefanie Duguay, Tarleton Gillespie and Sinnamon Love. Clarissa Smith chaired the discussion, which was transcribed and then edited to cut digressions and repetitions for publication. The roundtable provided the opportunity to reflect on recent moves to excise sex and forms of sexual commerce and performance from online spaces, while marking out some key issues for future research with and about sex workers, performers and other content providers. Our discussion provided critical engagement with ongoing legislative changes that are impacting content and providers directly and indirectly.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.373
Threshold uncertainty score0.439

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.081
GPT teacher head0.379
Teacher spread0.297 · 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