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Record W4313207841 · doi:10.7202/1095067ar

Fernand Ouellet (1926-2021)

2022· article· fr· W4313207841 on OpenAlexvenueaboutno aff
Yves Frénette

Bibliographic record

VenueCahiers Charlevoix Études franco-ontariennes · 2022
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

La rentrée 2022 des Cahiers Charlevoix débute, comme il est de mise, par un hommage saluant la mémoire de notre confrère émérite Fernand Ouellet (1926-2021), premier titulaire du cinquième fauteuil de la Société Charlevoix, disparu récemment. Adhérant dès 1993 à l’idée de notre regroupement, celui qui en fut l’aîné allait généreusement et activement contribuer aux six premiers tomes de nos cahiers (1995-2004) de même qu’au hors-série Les Régionalismes de l’Ontario français (Gref, 2005) ; ses études substantielles, développées sur plus de 500 pages, forment le socle d’un ouvrage capital : L’Ontario français dans le Canada français avant 1911. Contribution à l’histoire sociale (Prise de parole, 2005). La notice nécrologique, préparée par Yves Frenette, retrace la carrière de ce chercheur exceptionnel, considéré comme l’un des plus grands historiens canadiens, depuis ses débuts aux Archives de la Province de Québec et à l’Université Laval jusqu’à l’Université York à Toronto, en passant par l’Université Carleton et l’Université d’Ottawa. Tout à la fois prolifique et controversé, Fernand Ouellet fit paraître son premier article en 1950 et ses derniers en 2012. Avant ses écrits sur l’Ontario français, il avait donné à la science historique deux grands livres : Histoire économique et sociale du Québec, 1760-1850 (Fides, 1966) et Le Bas-Canada, 1791-1840. Changements structuraux et crise (Puo, 1976).

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)0.000
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.089
Threshold uncertainty score0.199

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0590.007

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 head0.012
GPT teacher head0.216
Teacher spread0.204 · 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".

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Citations0
Published2022
Admission routes2
Has abstractyes

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