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Record W4410705328 · doi:10.29173/cais1931

Knowledge Organization in a Dangerous Time

2025· article· fr· W4410705328 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueProceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI · 2025
Typearticle
Languagefr
FieldDecision Sciences
TopicKnowledge Management and Technology
Canadian institutionsUniversity of AlbertaDalhousie UniversityWestern UniversityUniversity of British Columbia
Fundersnot available
KeywordsBusiness

Abstract

fetched live from OpenAlex

Knowledge organization (KO) work is both critical and risky in the context of rising fascism, creating tools that support both discovery and censorship. Contemporary approaches require knowing how our design work contributes to either outcome. In this panel, we will apply our collective expertise in critique and design of knowledge organization to explore ethical approaches to KO work in dangerous times. L'organisation des connaissances à une époque dangereuse RésuméLe travail d'organisation des connaissances (OC) est à la fois critique et risqué dans le contexte de la montée du fascisme, créant des outils qui favorisent à la fois la découverte et la censure. Les approches contemporaines exigent de savoir comment notre travail de conception contribue à l'un ou l'autre des résultats. Dans ce panel, nous appliquerons notre expertise collective en matière de critique et de conception en organisation des connaissances afin d'explorer les approches éthiques du travail d'OC à une époque dangereuse. Mots-clésOrganisation des connaissances; censure; éthique; justice sociale

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)0.002
metaresearch head score (Gemma)0.086
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.698
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.086
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.006
Science and technology studies0.0000.001
Scholarly communication0.0030.007
Open science0.0040.002
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 head0.032
GPT teacher head0.302
Teacher spread0.269 · 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