MétaCan
Menu
Back to cohort
Record W3138751991 · doi:10.7202/1075704ar

Un aperçu de la recherche à Bibliothèque et Archives Canada

2021· article· fr· W3138751991 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueArchives · 2021
Typearticle
Languagefr
FieldDecision Sciences
Topicscientometrics and bibliometrics research
Canadian institutionsLibrary and Archives Canada
FundersNational Science BoardYork UniversitySocial Sciences and Humanities Research Council of CanadaNational Research Council CanadaUniversity at AlbanyUniversity of TorontoStrongCentre National de la Recherche ScientifiqueUniversity of WindsorNational Science FoundationUniversity of WashingtonMcGill UniversityArizona State UniversityResearch Institute, Georgia Institute of TechnologyYale UniversityNational Aeronautics and Space AdministrationUniversity of California, Los AngelesUniversity of MinnesotaUniversity of British ColumbiaU.S. Department of Defense
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Quelles sont les conditions de la recherche en archivistique ? Dans un environnement universitaire, la recherche suggère un projet qui dure pour une période prolongée, qui est poussé et qui vise à la production d’une publication (ou d’un rapport de recherche), typiquement évaluée par les pairs. Il s’agit de la création de connaissances, qu’importe s’il y a un besoin immédiat et pratique pour ces nouvelles connaissances. D’habitude, de telles recherches reflètent un engagement étroit avec une littérature scientifique. Les institutions gouvernementales telles que Bibliothèque et Archives Canada (BAC) font face à un autre environnement de recherche. Cet article offre un aperçu des pressions sur BAC en ce qui concerne la recherche, un exposé des diverses sortes de recherche entreprise à BAC, une analyse de la longue participation de BAC aux projets InterPARES et ITrust, suivi de quelques observations en guise de conclusion.

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.

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)0.014
metaresearch head score (Gemma)0.097
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Bibliometrics, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesBibliometrics
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.859
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.097
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0340.160
Science and technology studies0.0000.001
Scholarly communication0.0040.000
Open science0.0030.002
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.632
GPT teacher head0.562
Teacher spread0.070 · 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