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Record W2949492126

Una prima analisi di ÉSIS Thesaurus of information studies di Tom Delsey

2019· article· it· W2949492126 on OpenAlexaboutno aff
Mauro Guerrini

Bibliographic record

VenueFlorence Research (University of Florence) · 2019
Typearticle
Languageit
FieldArts and Humanities
TopicItalian Literature and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsThesaurusInformation retrievalNatural language processingComputer scienceArtificial intelligence
DOInot available

Abstract

fetched live from OpenAlex

Il modello concettuale concepito da Tom Delsey ha al centro l’oggetto (information), a cui si applicano le attività (dimensions: research e management); oggetto e attività sono specificati rispettivamente dalle perspectives (context, values, needs, methods) e dagli aims/outcomes, ciascuno declinato in quattro ambiti concettuali. La terminologia del modello ha alla base una organizational warrant ovvero una garanzia letteraria ampia. Probabilmente non avremo mai un thesaurus completo bensì «an upper level ontology or semantic network for the LIS field». Il thesaurus è uno strumento importante per la professione e gli studi biblioteconomici poiché è fondamentale comprendere i concetti nel loro valore assoluto e in riferimento alla loro applicazione in realtà concrete.
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\nThe conceptual model conceived by Tom Delsey, University of Ottawa, Canada, has at its center the information, to which the activities apply (dimensions: research and management); object and activity are specified respectively by the perspectives (context, values, needs, methods), and by the aims / outcomes, each declined in four conceptual areas. The model terminology is based on an organizational warrant or a wide literary guarantee. We will probably never have a complete thesaurus, but "an upper level ontology or semantic network for the LIS field". The thesaurus is an important tool for the profession and library studies since it is fundamental to understand the concepts in their absolute value and in reference to their application in concrete realities.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.298
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0000.003
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.053
GPT teacher head0.288
Teacher spread0.235 · 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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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