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Record W2460693621 · doi:10.29173/cais401

Inedxing as Problem Solving: A Cognitive Approach to Consistency

2013· article· en· W2460693621 on OpenAlexvenueno aff
Claire David, Laurent Giroux, Suzanne Bertrand‐Gastaldy, Diane Lanteigne

Bibliographic record

VenueProceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI · 2013
Typearticle
Languageen
FieldComputer Science
TopicAdvanced Text Analysis Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsConsistency (knowledge bases)CognitionPsychologyHumanitiesCognitive psychologyComputer sciencePhilosophyArtificial intelligence

Abstract

fetched live from OpenAlex

Indexers differ in their judgment as to which terms reflect adequately the content of a document. Studies on interindexers' consistency identified several factors associated with low consistency, but failed to provide a comprehensive model of this phenomenon. Our research applies theories and methods from cognitive psychology to the study of indexing behavior. From a theoritical standpoint, indexing is considered as a problem solving situation. To access to the cognitive processes of indexers, three kinds of verbal reports are used. We will present results of an experiment in which four experienced indexers indexed the same documents. It will be shown that the three kinds of verbal reports provide complementary data on strategic behavior, and that it is of prime importance to consider the indexing task as an ill-defined problem, where the solution is partly defined by the indexer him(her)self.Résumé: Afin de mieux cerner l'origine des différences relevées par les études sur la cohérence inter-indexeurs, nous adjoignons les théories et méthodes issues de la psychologie cognitive (spécifiquement celles qui considèrent une tâche comme une situation de résolution de problème) à l'étude des processuscognitifs impliqués lors de l'indexation. Cette approche permet d'identifier les stratégies cognitives élaborées et utilisées par les indexeurs. Afin d'avoir accès à leurs processus cognitifs, trois types de verbalisations sont recueillis. Nous présenterons les résultats d'une expérimentation pour laquelle quatre indexeurs expérimentés ont analysé les mêmes documents. Les résultats avancés démontreront la complémentarité des données issues des trois types de verbalisations et l'importance de considérer l'indexation en tant que problème mal- défini; la solution étant définie en partie par l'indexeur.

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)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Scholarly communication
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.374
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0030.014
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 head0.021
GPT teacher head0.254
Teacher spread0.234 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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

Citations0
Published2013
Admission routes1
Has abstractyes

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