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Record W2157056964 · doi:10.1002/meet.14505001053

ASIS&amp;T 2013: From competitive intelligence as a <i>state of mind</i> to information transculture

2013· article· en· W2157056964 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.

Bibliographic record

VenueProceedings of the American Society for Information Science and Technology · 2013
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCompetitive and Knowledge Intelligence
Canadian institutionsUniversité de Moncton
Fundersnot available
KeywordsCompetitive intelligenceContext (archaeology)Set (abstract data type)Knowledge managementComputer scienceState (computer science)Information literacyCognitive scienceSociologyData scienceEpistemologyPsychologyWorld Wide Web

Abstract

fetched live from OpenAlex

Abstract The current study proceeds from a transdisciplinary, ecological and systemic angle as it undertakes to interrogate the information skills of users who are uninitiated and untrained to a competitive intelligence model (and specifically, to the French model, which proposes a more generic and all‐encompassing approach than other models). In addition to outlining a framework for assessing these informactors' performance within the context of the informational act, this paper proposes new definitions for the terms “strategic information” and “information intelligence”, as a ways to further investigate the pioneering concept of “information transculture” – a concept which stems from the confluence of various generic approaches to information literacy and which is set forth here for the first time.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.833
Threshold uncertainty score0.486

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0000.001
Scholarly communication0.0000.005
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 head0.010
GPT teacher head0.240
Teacher spread0.230 · 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