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Record W2965704499 · doi:10.29173/cais976

A Post Fifty Shades of Grey Examination of Canadian Public Library Collections

2018· article· en· W2965704499 on OpenAlexvenueaboutno aff
Marni R. Harrington, Kirstyn Seanor, Heather Hill

Bibliographic record

VenueProceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicCrime, Deviance, and Social Control
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesRomanceArtConversationPhilosophyLiteratureLinguistics

Abstract

fetched live from OpenAlex

The phenomenon surrounding Fifty Shades of Grey (FSOG) created a new and public conversation about erotica and erotic romance literature. Although the phenomenon surrounding FSOG has faded, the sub-genre of erotica/erotic romance is still of interest. Traditional and nontraditional LIS review sources were examined for erotica/erotic romance titles to determine characteristics of titles reviewed, trends seen in the reviews, and to uncover the uptake of reviewed materials in Canadian libraries. Findings show some distinct characteristics in titles along with an influence of FSOG in the reviews, and a mismatch between the review sources examined and an example of a public library’s collection.Le phénomène entourant Fifty Shades of Grey (FSOG) a créé une nouvelle discussion publique à propos de l’érotisme et de la littérature érotique. Bien que le phénomène entourant le FSOG ait disparu, le sous-genre de l'érotisme et de la littérature érotique est toujours d'intérêt. Nous avons examiné les sources d'examen des sciences de l’information traditionnelles et non traditionnelles dans le but de déterminer les caractéristiques des titres examinés, les tendances observées dans les revues et de découvrir l'utilisation des documents examinés dans les bibliothèques canadiennes. Les résultats montrent des caractéristiques distinctes dans les titres ainsi qu'une influence du FSOG dans les revues, et une inadéquation entre les sources examinées et un exemple de collection dans une bibliothèque publique.

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)0.018
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.361
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.002
Scholarly communication0.0010.007
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 head0.033
GPT teacher head0.261
Teacher spread0.228 · 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
Published2018
Admission routes2
Has abstractyes

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Same venueProceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSISame topicCrime, Deviance, and Social ControlFrench-language works237,207