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Record W4394696147 · doi:10.33137/q.i..v44i1.42837

Bibliography of Italian Studies in Poland: Project Description and Statistics

2024· article· en· W4394696147 on OpenAlexvenueno aff
Даниел Слапек, Katarzyna Biernacka-Licznar

Bibliographic record

VenueQuaderni d italianistica · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicItalian Fascism and Post-war Society
Canadian institutionsnot available
Fundersnot available
KeywordsBibliographyStatisticsLibrary scienceInformation retrievalComputer scienceMathematics

Abstract

fetched live from OpenAlex

The aim of the Bibliography of Italian Studies in Poland (BISP) project is to create a complete database of scientific publications written by scholars employed by Italian studies departments of Polish higher education institutions. This article presents a detailed description of the project and the results of a thorough bibliographic analysis of the publications included in BISP, which encompasses texts from three disciplines: linguistics, literary studies, and cultural and religious studies. The analyzed data concern the publications of Italian studies researchers who are currently active at Polish universities: 149 monographs, 113 edited volumes, 1,151 journal articles, and 1,415 chapters in collected monographs—a total of 2,828 publications, written by 145 authors. Our objective is to identify any discernible trends in terms of publishing research results by the analyzed group of researchers.

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)0.011
metaresearch head score (Gemma)0.033
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesBibliometrics
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.885
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.033
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.1150.148
Science and technology studies0.0020.001
Scholarly communication0.0060.003
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0220.010

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 head0.070
GPT teacher head0.360
Teacher spread0.291 · 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.

Study designObservational
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

Citations1
Published2024
Admission routes1
Has abstractyes

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