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Record W6947642232 · doi:10.4224/40003282

Éclairage de bureau pour les personnes sensibles à la lumière : résumé d’un essai pilote

2022· report· fr· W6947642232 on OpenAlexaffvenueabout

Bibliographic record

VenueNPARC · 2022
Typereport
Languagefr
FieldEnvironmental Science
TopicSpecies Distribution and Climate Change
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsPopulationPublicsResearch methodologyCensus

Abstract

fetched live from OpenAlex

Grâce au financement du Fonds centralisé pour un milieu de travail habilitant, Services publics et Approvisionnement Canada (SPAC) et le Conseil national de recherches du Canada (CNRC) ont mené un essai pilote d’une nouvelle solution d’éclairage au cours de l’été et de l’automne 2021. L’objectif était de trouver un système d’éclairage qui pourrait répondre à la fois aux besoins des fonctionnaires sensibles à la lumière et à ceux de la population en général. Si elle est concluante, cette nouvelle solution pourrait devenir un moyen d’offrir un environnement inclusif à tous les fonctionnaires, ce qui réduirait le besoin de mesures d’adaptation individuelles. Le rapport décrit le système d'éclairage et le test et fait état des résultats positifs : le nouveau système d'éclairage a permis d'améliorer la qualité de l'éclairage pour les participants sensibles à la lumière et pour la population 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 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)0.005
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.327
Threshold uncertainty score0.651

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.002

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 head0.052
GPT teacher head0.278
Teacher spread0.225 · 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 designNon-randomized trial
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

Citations0
Published2022
Admission routes3
Has abstractyes

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Same venueNPARC→Same topicSpecies Distribution and Climate Change→French-language works237,207→