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Record W2399827239

TIM DEAN, STEVEN RUSZCZYCKY, and DAVID SQUIRES, eds., Porn Archives

2016· article· en· W2399827239 on OpenAlexaff
Marcel Barriault

Bibliographic record

VenueArchivaria (Association of Canadian Archivists) · 2016
Typearticle
Languageen
FieldPsychology
TopicSexuality, Behavior, and Technology
Canadian institutionsLibrary and Archives Canada
Fundersnot available
KeywordsArtArt history
DOInot available

Abstract

fetched live from OpenAlex

This important multidisciplinary work is a vital addition to the field of porn studies.It contains contributions from scholars in a wide range of academic disciplines, including art history, ethnic studies, literature, and film and media.Its scope is quite broad and extends well beyond the traditional boundaries of archives, libraries, and museums.The essays are arranged in six separate sections.The first, "Pedagogical Archives," examines the structures in place for the creation of porn knowledge (universities and academia, archives, libraries, and museums), which enable the critical reception and discussion of porn.As its name implies, the section "Historical Archives" focuses on specific textual documents and key moments in the history of porn.The third section, "Image Archives," contains essays dealing specifically with porn in the form of photographs, visual arts, and film.The final three sections are thematic in scope.The fourth, "Rough Archives," looks at porn that contains depictions of imagined or real non-consensual sex.The fifth, "Transnational Archives," discusses porn from within other geographical borders (in this case, Puerto Rico and Brazil), as well as records that cross the boundaries of what traditionally qualifies as porn (specifically war porn, in which the theatre may be Iraq and Afghanistan, among other locations).The last section, "Archives of Excess," examines porn that falls

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 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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.567
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.017
GPT teacher head0.272
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 teacher head, not a consensus.

Study designObservational
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
Published2016
Admission routes1
Has abstractyes

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