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Record W2793090024 · doi:10.14201/hedu2016353552

Artesanías, oficios y recuperación rural: las Hermanas de la Caridad, Halifax, y la formación profesional en la Bahía de Terence, Nueva Escocia, 1938-1942

2016· article· es· W2793090024 on OpenAlexafffundabout
Sasha Mullally, Heidi MacDonald

Bibliographic record

VenueHistoria de la Educación · 2016
Typearticle
Languagees
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of LethbridgeUniversity of New Brunswick
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsNova scotiaBayVocational educationPovertySociologyCapitalismHumanitiesPolitical scienceHistoryArtEthnologyArchaeologyPedagogyLawPolitics

Abstract

fetched live from OpenAlex

En respuesta a la pobreza rural asociada al declive de la pesca, el ascenso del capitalismo industrial y el impacto de la Gran Depresión, las Hermanas de la Caridad pusieron en marcha un programa de formación profesional de tejido y carpintería en la pequeña comunidad de Terence Bay, Nueva Escocia, en 1938. El senador William Dennis, un defensor del Movimiento de Nueva Democracia (New Democracy Movement) financió el programa. Debido a que las hermanas basaron sus reclamaciones en el éxito que observaron en los cambios de conducta entre los residentes de Terence Bay, el programa puede ser percibido como un ejemplo de terapia liberal en materia educativa. Un modelo que enfatiza el logro de objetivos sociales en vez de la transferencia de habilidades y capacidades diferenciadas para los alumnos/as. Este artículo, que se centra en los años 1938-1943, señala los esfuerzos de rehabilitación en Terence Bay, describe los programas que implementaron las hermanas y evalúa las definiciones de éxito atribuidas a su escuela de formación sólo unos pocos años más tarde.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.288
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.005
GPT teacher head0.273
Teacher spread0.268 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2016
Admission routes3
Has abstractyes

Explore more

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