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Record W7161236244 · doi:10.7202/1125048ar

Les modifications de fond à la <i>Loi sur les langues officielles</i> du Canada expliquées

2024· article· en· W7161236244 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueOttawa Law Review · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)SeditionPoison control

Abstract

fetched live from OpenAlex

Le 20 juin 2023, le projet de loi C-13, la Loi visant l’égalité réelle entre les langues officielles du Canada, a reçu la sanction royale. Cette loi a modernisé la Loi sur les langues officielles [ci-après « LLO »] du Canada de 1988 et a édicté la Loi sur l’usage du français au sein des entreprises privées de compétence fédérale [ci-après « LUFEP »]. Le présent texte recense les modifications de fond découlant du projet de loi C-13 : la section liminaire fournit un bref survol du contexte dans lequel s’est inscrit le projet de loi C-13, suivie du corps du texte, principalement structuré en fonction des différentes parties de la LLO , puis l’ensemble se termine par une section portant sur les grandes lignes de la LUFEP . Pour chacune des sections, nous étayons le raisonnement et les facteurs derrière les choix de modifications de fond apportées à la LLO . Ces facteurs comprennent en particulier des développements jurisprudentiels, des propositions de différentes parties prenantes, un document de réforme des langues officielles et des travaux de comités parlementaires.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.939
Threshold uncertainty score0.318

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.031
GPT teacher head0.298
Teacher spread0.268 · 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