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Record W3094019992 · doi:10.1002/pra2.226

Conceptualizing and studying information creation: From production and processes to makers and making

2020· article· en· W3094019992 on OpenAlexaff
Isto Huvila, Jennifer Douglas, Tim Gorichanaz, Kyungwon Koh, Anna Suorsa

Bibliographic record

VenueProceedings of the Association for Information Science and Technology · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicKnowledge Management and Sharing
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsKnowledge managementKey (lock)Information literacyProduction (economics)Information systemInformation managementPersonal information managementComputer scienceManagement information systemsData scienceBusinessPolitical scienceWorld Wide Web

Abstract

fetched live from OpenAlex

Abstract An emerging body of literature has begun to address the earlier under‐researched topic of information creation. This panel inquires into the state‐of‐the‐art of research on information creation to highlight how different conceptualisations of information creation can foreground various key aspects of how information is made and produced, what types of actors and activities are involved, how information creation can be studied empirically, and what novel insights can be drawn to support practitioners, for instance, in information literacy instruction, information organisation and management, and information systems and services development.

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 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)0.001
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.397
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.004
Open science0.0000.000
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 head0.028
GPT teacher head0.288
Teacher spread0.260 · 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 teacher head, not a consensus.

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

Citations14
Published2020
Admission routes1
Has abstractyes

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