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Record W2495878820 · doi:10.29173/cais858

Information Behavior Research: Where Have We Been, Where Are We Going?

2016· article· fr· W2495878820 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueProceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI · 2016
Typearticle
Languagefr
FieldComputer Science
TopicAdvanced Text Analysis Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesSociologyPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

A quantitative content analysis of recently published research in information behavior is compared with previous analyses to create a 30-year profile of work in the field. Variables of particular interest include research methods employed, user groups studied, relative interdisciplinarity, theoretical frameworks applied, attention to affect, and attention to systems design.Une analyse quantitative de contenus de recherches sur le comportement informationnel publiés récemment a été comparée à des analyses réalisées précédemment afin d’aboutir à un profil sur trente ans du travail accompli dans le domaine. Les variables offrant un intérêt particulier comprennent : les méthodes de recherche utilisées, les groupes d'utilisateurs étudiés, une relative interdisciplinarité, les cadres théoriques appliqués, l’attention aux affects, et l’attention aux conceptions de systèmes.*** Awarded Best Overall Conference Paper ***

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)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Scholarly communication, Open science
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.735
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.002
Scholarly communication0.0050.055
Open science0.0060.003
Research integrity0.0010.001
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 head0.069
GPT teacher head0.323
Teacher spread0.254 · 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