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Record W2965420532 · doi:10.29173/cais548

Re-Conceiving Information Studies: A Quantum Approach

2013· article· fr· W2965420532 on OpenAlexvenueno aff
John M. Budd

Bibliographic record

VenueProceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI · 2013
Typearticle
Languagefr
FieldComputer Science
TopicAdvanced Text Analysis Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsInstrumentalismThe RenaissanceHumanitiesEpistemologySociologyPhilosophyArtArt history

Abstract

fetched live from OpenAlex

This presentation is a suggestion for rethinking future inquiry in information studies. Features of quantum theory, including examining information and informing action as non-local, dynamic, and time-reversible allow for a departure from existing intellectual constraints. The result desired would be a renaissance in the examination of complex processes, examination not limited by past materialist, instrumentalist, and static conceptions.Cette communication propose une nouvelle façon de penser un questionnement futur en science de l’information. Des notions de théorie quantique, y compris examiner l’information et éclairer les interventions dans une optique non locale, dynamique et réversible permettent de s’éloigner des contraintes intellectuelles actuelles. Le résultat souhaité serait une renaissance de l’examen de processus complexes, non limité aux anciennes conceptions matérialistes, instrumentalistes et statiques.

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)0.017
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.017
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.018
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0050.002
Science and technology studies0.0050.049
Scholarly communication0.0130.034
Open science0.0030.007
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0090.001

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 head0.043
GPT teacher head0.282
Teacher spread0.239 · 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 designTheoretical or conceptual
Domainnot available
GenreMethods

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
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSISame topicAdvanced Text Analysis TechniquesFrench-language works237,207