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Record W1978415432 · doi:10.7152/acro.v23i1.14229

Super Tagging in the Development of Sexual Nomenclature and Social Organization Online

2013· article· en· W1978415432 on OpenAlex

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

VenueAdvances in Classification Research Online · 2013
Typearticle
Languageen
FieldPsychology
TopicSexuality, Behavior, and Technology
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsNormativeFeelingComputer scienceRepresentation (politics)Identification (biology)Identity (music)Sexual identityStructuringSocial psychologyPsychologyWorld Wide WebSociologyEpistemologyGender studiesPoliticsHuman sexualityAesthetics

Abstract

fetched live from OpenAlex

In this paper, I describe the ways in which interventionist forms of tagging, such as super tagging, gorilla tagging, and tag bombing within Xtube, a database of sexual representation, reveal complex social and cultural structures among members of sexual subcultures and point to the particularlity of various modes of sexual being and the relationship between those modes and particular configurations of sexual identity. Individuals who participate in super tagging do not necessarily exert significant influence over information retrieval results within a database. Instead, in Xtube, members create alternative, activist, and interventionist forms of tags for personal and social purposes. Particularly for individuals who experience non-normative desire, such tagging practices provide a means for describing and structuring feelings of difference into coherent identities and particular social forms for socio-sexual engagement and self-exploration and understanding.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.486
Threshold uncertainty score0.317

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.151
GPT teacher head0.478
Teacher spread0.327 · 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