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Record W4393675943 · doi:10.5281/zenodo.7539010

Canadian publications in Library and Information Science / Publications canadiennes en bibliothéconomie et sciences de l'information

2024· dataset· en· W4393675943 on OpenAlexaffabout
Jean-Sébastien Sauvé, Philippe Mongeon

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2024
Typedataset
Languageen
FieldComputer Science
TopicLibrary Science and Information Systems
Canadian institutionsUniversité de MontréalUniversity of OttawaDalhousie University
Fundersnot available
KeywordsBETA (programming language)Library scienceInformation retrievalComputer scienceData scienceProgramming language

Abstract

fetched live from OpenAlex

Overview of Dataset This dataset was developed through a collaboration between Dalhousie University and the University of Montréal. This project aims to help break down the silos in which the two primary target audiences- information science researchers and academic librarians- conduct their research. The Canadian Publications in Library and Information Science dataset makes visible the work that librarians do and allows other Canadian researchers to discover the research of their colleagues. The dataset contains 1,326 distinct authors, 850 of which were classified as practitioners and 476 as academics. It has a total of 13,775 records out of which 8,230 are authored by at least one academic and 5,740 are authored by at least one practitioner. File descriptions Table 1. Canadian LIS authors table (authors) Field Description author_id Unique identifier for the publication in the LIS database first_name First name of author last_name Last name of author full_name Full name of author status Academic (Ph.D. student, a postdoctoral fellow, or a professor (assistant, associate, full, emeritus) in an organizational unit offering an ALA accredited degree) or practitioner (librarian position in a Canadian university) Table 2. Works table (publications) Field Description pub_id Unique identifier for the publication in the LIS database doi Digital object identifiers openalex_work_id Identifier of the work in the OpenAlex database (URL format) isbn International standard book number (ISBN). doc_type Document type. Can take one of the following values: article; review; conference paper, book; edited book; book chapter. publication_year Year of publication title Title of the document source_name Title of the source (journal, conference, or book title for book chapters) author_list_full Full text listing of author names volume Volume number issue Issue number pages First and last pages separated by a hyphen. bk_edition Book edition bk_editor Name of book editor (for book chapters) publisher Publisher of the book/journal source_id Foreign key to the sources table url URL for the publication Table 3. Author publications table (authors_publications) Field Description author_id Unique identifier for the author in the authors table pub_id Unique identifier for the work in the publications table author_position Position on the byline. role Role of the author on the work (author/editor) Table 4. Author IDs table (authors_ids) Field Description author_id Unique identifier for the author in the authors table source Source for the identifier (e.g., OpenAlex, Scopus, Google Scholar, ORCID) identifier Identifier for the author in the source database Table 5. Publication source table (sources) Field Description source_id Unique identifier for the source source_name Name of the source publisher Publisher name for the source issn ISSN for the source source_type OpenAlex source type (e.g., journal, conference) Table 6. Institutions table (institutions) Field Description institution_id Unique identifier for the institution institution_name Name of the Canadian academic institution city Name of the city in which the institution is primarily located province Two-letter code of the province in which the institution is located Table 7. Institution IDs table (institutions_ids) Field Description institution_id Unique identifier for the institution in the institutions table id_source Source database for the identifier (e.g., OpenAlex) identifier Identifier linked to the institution in the source database Table 8. Authorship institutional affiliation table (authors_publications_institutions) Field Description author_id Author component of the authorship information in the authors_publications table pub_id Publication component of the authorship information in the authors_publications table institution_id Unique identifier for the affiliated institution in the institutions table Table 9. Citations table (citations) Field Description citing_pub_id Unique identifier for the citing work in the publications table cited_pub_id Unique identifier for the cited work in the publications table To submit updates For those interested in submitting updates to this dataset, you may send them by email to Philippe Mongeon (PMongeon@dal.ca). Please specify whether you want to modify, add, or delete existing data entries. Files in any format (e.g., XLS, BIB, Word, or a list of DOIs) are accepted.Data paperFind the corresponding data paper that describes the objectives of this dataset and the steps of its creation here: https://arxiv.org/abs/6053305. How to cite this dataset Sauvé, J.-S., Hare, M., Krause, G., Poitras, C., Riddle, P., & Mongeon, P. (2024). Canadian publications in Library and Information Science / Publications canadiennes en bibliothéconomie et sciences de l'information [Data set]. Zenodo. https://doi.org/10.5281/zenodo.14302591

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)0.003
metaresearch head score (Gemma)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesBibliometrics
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.967
Threshold uncertainty score0.250

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.023
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0330.092
Science and technology studies0.0040.001
Scholarly communication0.0070.002
Open science0.0040.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0700.032

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 head0.024
GPT teacher head0.244
Teacher spread0.220 · 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 designNot applicable
Domainnot available
GenreDataset

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
Published2024
Admission routes2
Has abstractyes

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