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Record W2762662819 · doi:10.29173/cais646

“Everyone Forgets That Knowledge is the Ultimate Weapon”: Information Seeking Practices in Buffy the Vampire Slayer

2013· article· fr· W2762662819 on OpenAlexaffvenue
Deborah Hicks, Caroline Whippey

Bibliographic record

VenueProceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI · 2013
Typearticle
Languagefr
FieldComputer Science
TopicDigital Communication and Language
Canadian institutionsWestern UniversityUniversity of Alberta
Fundersnot available
KeywordsVampireDepictionSociologyHumanitiesArtLiterature

Abstract

fetched live from OpenAlex

This paper examines how information seeking practices are depicted in "Buffy the Vampire Slayer". As popular culture reflects culturally held assumptions, this paper examines what the depiction of information seeking practices in a popular television show can tell LIS researchers and practitioners about how such practices are culturally understood.Cette communication examine comment les pratiques de recherche d’information sont dépeintes dans « Buffy contre les vampires ». Puisque la culture populaire se veut le reflet de pratiques culturelles existantes, cette communication s’intéresse à ce que les pratiques de recherche d’information montrées dans une émission de télévision populaire peut apprendre aux chercheurs et aux praticiens en BSI sur la compréhension culturelle de la pratique.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.018
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.011
Scholarly communication0.0060.004
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.052
GPT teacher head0.285
Teacher spread0.233 · 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 designQualitative
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

Citations2
Published2013
Admission routes2
Has abstractyes

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Same venueProceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSISame topicDigital Communication and LanguageFrench-language works237,207