MétaCan
Menu
Back to cohort
Record W2803542864 · doi:10.7202/1045310ar

Criminologie à portée de clic : analyse de l’usage de la revue numérique

2018· article· fr· W2803542864 on OpenAlexaffvenue
Sarah Cameron-Pesant, Maxime Sainte-Marie, Yorrick Jansen, Vincent Larivière

Bibliographic record

VenueCriminologie · 2018
Typearticle
Languagefr
FieldComputer Science
TopicCybercrime and Law Enforcement Studies
Canadian institutionsUniversité du Québec à MontréalUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPhysicsPhilosophyPolitical science

Abstract

fetched live from OpenAlex

À la fin des années 1990, Criminologie est l’une des premières revues savantes québécoises à passer au format numérique. Cet article dresse un portrait de l’usage numérique de la revue, basé sur l’analyse de 858 894 téléchargements extraits des logs du serveur de la plateforme Érudit, de 2010 à 2015. Dans l’ensemble, le lectorat de la revue semble bien établi, l’essentiel des usagers provenant d’Amérique du Nord et d’Europe. L’importance croissante de l’utilisation de la plateforme Érudit dans les pratiques de recherche des usagers, de pair avec l’effet positif de la suppression de la barrière mobile sur la diffusion de la recherche, sont également dignes de mention. Une asymétrie importante dans la distribution des consultations d’articles et de numéros thématiques a également pu être observée, une proportion importante de téléchargements étant l’affaire de quelques articles et numéros thématiques. Enfin, l’analyse des mots clés des articles téléchargés permet de souligner l’importance des problématiques locales ainsi que de la thématique autochtone en général.

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)0.002
metaresearch head score (Gemma)0.002
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.645
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.333
GPT teacher head0.399
Teacher spread0.066 · 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 designOther design
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
Published2018
Admission routes2
Has abstractyes

Explore more

Same venueCriminologieSame topicCybercrime and Law Enforcement StudiesFrench-language works237,207