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Record W2907274165 · doi:10.71781/8528

Élites commémorantes et mise en scène de l’histoire dans la construction de l’identité lachinoise à l’époque du maire Anatole Carignan (1933-1939 et 1944-1952)

2018· dissertation· fr· W2907274165 on OpenAlexaboutno aff
Denis Gravel

Bibliographic record

VenueOpen MIND · 2018
Typedissertation
Languagefr
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophyArt

Abstract

fetched live from OpenAlex

Ce mémoire s’attarde au rôle joué par les élites commémorantes dans la construction d’une identité sur le plan local. À partir des mandats à la mairie d’Anatole Carignan à Lachine de 1933 à 1939 et de 1944 à 1952, il identifie les membres-clés de l’élite et du réseau lié à la création et à la fabrication de mises en scène, de monuments et de festivités de l’histoire municipale. Les commémorations proposées aux citoyens portent sur le massacre de Lachine, la reconnaissance de personnages tels que René-Robert Cavelier de La Salle et Désiré Girouard, la fête civique du 6 juillet, le 275e anniversaire de Lachine en 1944, le 100e anniversaire de la liaison ferroviaire entre Montréal et Lachine en 1947 et le 100e anniversaire de la fondation de la municipalité en 1948. Le mémoire comprend une analyse critique des deux principales mises en scène présentées durant cette période, celle du massacre de Lachine et son rituel funèbre au cœur du Vieux-Lachine, et le spectacle théâtral ou pageant qui reprend une version de l’histoire locale de 1667 à 1944. De plus, les édiles municipaux ont laissé un double héritage à leurs concitoyens : l’acquisition de la maison Le Ber-Le Moyne transformée en Musée et la fondation de la Société d’histoire régionale de Lachine.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.863
Threshold uncertainty score0.273

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.010
Scholarly communication0.0060.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.001

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 head0.014
GPT teacher head0.258
Teacher spread0.244 · 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 designQualitative
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
Published2018
Admission routes1
Has abstractyes

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