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Record W3045515740 · doi:10.4000/revuehn.418

Le webdocumentaire : un outil numérique innovant au service de l’enseignement, de la recherche et de la valorisation

2020· article· fr· W3045515740 on OpenAlexaffabout
Alexandre Klein

Bibliographic record

VenueHumanités numériques · 2020
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Language Learning Methods
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Parmi la multiplicité des outils numériques aujourd’hui accessibles aux chercheurs, le webdocumentaire se singularise par la richesse de ses usages possibles. Fondamentalement interactif, ce support associant texte, images, vidéo, son et animations permet de diffuser en ligne des savoirs de manière accessible et participative. Il apparaît donc comme un outil de choix tant pour présenter et valoriser le travail de recherche (en particulier historique) que pour en transmettre le contenu et les résultats à un public large et varié. Grâce à son fonctionnement basé sur une architecture complexe faite de multiples niveaux de présentation et différentes voies d’accès, il offre en effet une totale liberté de navigation à ses utilisateurs et s’affirme ainsi comme un support pédagogique de choix. C’est ce que vise à démontrer cet article, qui présente pour ce faire un webdocumentaire historique achevé, intitulé Alfred Binet. Naissance de la psychologie scientifique, et un webdocumentaire en cours d’écriture sur l’histoire du nursing psychiatrique au Québec. À partir de ces deux exemples concrets, il montre comment cet outil numérique nouveau permet aujourd’hui de réinventer les perspectives pédagogiques et scientifiques en nous offrant des possibilités techniques jusqu’alors inédites et surtout en nous invitant à penser ensemble la recherche, l’enseignement et la valorisation.

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)0.008
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.028
Threshold uncertainty score0.095

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.024
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0070.007
Science and technology studies0.0040.006
Scholarly communication0.0200.017
Open science0.0020.008
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0280.011

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 head0.215
GPT teacher head0.437
Teacher spread0.222 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreMethods

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

Citations4
Published2020
Admission routes2
Has abstractyes

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