MétaCan
Menu
Back to cohort
Record W2477036481

Le rôle de la bienfaisance dans les représentations identitaires des Acadiens à partir de la déportation en Nouvelle-Angleterre (1755-2005)

2016· article· fr· W2477036481 on OpenAlexaboutno aff
Adeline Vasquez-Parra, Serge Jaumain

Bibliographic record

VenueDépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles) · 2016
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesDeportationRepresentation (politics)EthnologyPoliticsPolitical scienceSociologyArtImmigrationLaw
DOInot available

Abstract

fetched live from OpenAlex

Cette thèse porte sur la représentation d'un groupe de réfugiés de guerre: les Acadiens en 1755, date de leur déportation en Nouvelle-Angleterre, l'évolution de cette dernière et l'imprégnation continue de la bienfaisance dans cette évolution. Elle porte sur trois siècles et singularise les représentations de ces réfugiés dans plusieurs régions transatlantiques: la Nouvelle-Angleterre, le Québec, les provinces maritimes canadiennes et la France. Cette thèse s'arrête également sur l'impact social et politique de ces représentations pour la communauté acadienne actuelle. This dissertation focuses on the representation of a group of war refugees: Acadians in 1755, when they were expelled in New England. It traces the representation's evolution and the impact of humanitarianism. It deals with three centuries and singles out représentations in several transatlantic régions: New England, Québec, Eastern Canada and France. This dissertation singles out the social and political impact of humanitarianism in contemporary représentations of the Acadian community.

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)0.002
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: Empirical
Teacher disagreement score0.539
Threshold uncertainty score0.917

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0070.006
Scholarly communication0.0040.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.009
GPT teacher head0.228
Teacher spread0.219 · 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
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueDépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles)Same topicCanadian Identity and HistoryFrench-language works237,207