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Record W4386929919 · doi:10.1353/aca.2023.a907884

After the Escuminac Disaster: Poverty and Paternalism in Miramichi Bay, New Brunswick

2023· article· fr· W4386929919 on OpenAlexvenueaboutno aff
Ronald Rudin

Bibliographic record

VenueAcadiensis · 2023
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesEthnologyGeographyHistoryArt

Abstract

fetched live from OpenAlex

Abstract: En juin 1959, la flottille de pêche partie du quai d’Escuminac, dans le nord-est du Nouveau-Brunswick, fut frappée par un ouragan qui causa la mort de 35 hommes. Le désastre d’Escuminac, l’une des pires catastrophes de l’histoire de la province à s’être produites dans le cadre du travail, engendra de grandes difficultés pour les personnes à charge que ces pêcheurs laissèrent derrière eux et dont les ressources étaient limitées. En réponse, des dirigeants de la province, tant laïques que religieux, constituèrent Le fonds de secours du désastre maritime du Nouveau-Brunswick. Les administrateurs du fonds, pour la plupart des anglophones bien nantis, eurent du mal à comprendre les stratégies de survie employées par les familles, qui étaient pauvres et dont bon nombre étaient acadiennes. Abstract: In June 1959, the fishing fleet leaving from the wharf at Escuminac in northeastern New Brunswick was struck by a hurricane resulting in the deaths of 35 men. The Escuminac Disaster was one of the worst work-related disasters in the province’s history, creating a significant challenge for dependents left behind with limited resources. In response, provincial leaders–both secular and religious–created the New Brunswick Fishermen’s Disaster Fund. The administrators of the fund, mostly well-to-do and English-speaking, exhibited great difficulty in understanding the survival strategies employed by families, all of whom were poor and many of whom were Acadian.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.463
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.012
GPT teacher head0.229
Teacher spread0.217 · 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 teacher head, not a consensus.

Study designNot applicable
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
Published2023
Admission routes2
Has abstractyes

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