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Record W7067314434

Le Moulin-à-Fleur de Sudbury

2025· other· fr· W7067314434 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typeother
Languagefr
FieldMathematics
TopicMorphological variations and asymmetry
Canadian institutionsnot available
Fundersnot available
KeywordsFrenchDeportationMinistry of Foreign Affairs
DOInot available

Abstract

fetched live from OpenAlex

À son apogée entre 1945 et 1975, le Moulin-à-Fleur ou la paroisse Saint-Jean-de-Brébeuf se vantait d’être le quartier francophone de Sudbury et de l’Ontario. Il représentait en effet la pierre angulaire pour les autres communautés francophones ainsi que le fondement de la vie culturelle, économique et politique des Franco-Ontariens. Mais l’histoire n’a jamais été racontée de façon détaillée. Des années de recherches approfondies ont incité les auteurs à se plonger dans de nombreux écrits, articles scientifiques, archives personnelles, articles de journaux et témoignages afin de livrer cette première étude globale. Divisé en deux volets qui se complètent, ce récit retrace à la fois l’héritage des familles qui se sont battues pour offrir un quotidien et un avenir brillants à leur descendance et la lutte féroce menée par des pionniers, notamment Omer Thériault, Gaétan Gervais et Hélène Gravel, pour la défense culturelle et patrimoniale. Mais tous ces souvenirs dorment dans les rues de l’ancien quartier ou comme Mme Tregonning-Whissell le disait, «à l’ombre des silos». Ce livre témoigne des origines d’une communauté marquée par le dur labeur des mineurs de l’International Nickel, tout en évoquant le rôle des enseignants qui éveillaient les jeunes générations à un monde de possibilités. Le Moulin-à-Fleur de Sudbury rend hommage aux valeurs de charité et d’entraide qu’incarnait ce quartier qui célèbre au-delà de 120 ans de vie communautaire et culturelle.

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)0.001
metaresearch head score (Gemma)0.001
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: Other · Consensus signal: Other
Teacher disagreement score0.100
Threshold uncertainty score0.201

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.003
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0290.001

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 head0.022
GPT teacher head0.275
Teacher spread0.253 · 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
GenreOther

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
Published2025
Admission routes1
Has abstractyes

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Same topicMorphological variations and asymmetryFrench-language works237,207