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Record W4243449901 · doi:10.32316/hse/rhe.v22i1.2353

Learning to Leave: The Irony of Schooling in a Coastal Community

2010· article· en· W4243449901 on OpenAlexvenueaboutno aff
Andrew Parnaby

Bibliographic record

VenueHistorical Studies in Education / Revue d histoire de l éducation · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Systems and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsIronySociologyPsychologyArtLiterature

Abstract

fetched live from OpenAlex

"Farewell to Nova Scotia," the province's unofficial anthem, is a song of departure, not a song of arrival. Individuals and families have been leaving the Atlantic region for other parts of Canada and the United States in large numbers since the latenineteenth century. The scholarly literature on out-migration from Atlantic Canada is substantial. And it demonstrates that it is usually the young -between twenty and twenty-nine -that move first; that young men, more than young women, move more often; and that rural areas feel the incision of demographic collapse first. Yet in his sensitive and sophisticated analysis of out-migration from Digby Neck, Nova Scotia, Michael Corbett poses a question that economists, sociologists, and historians -who have studied the same phenomenon in other locales -have missed: what role does formal education play in rural depopulation?

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)0.003
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.543
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.116
GPT teacher head0.408
Teacher spread0.291 · 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.

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

Citations3
Published2010
Admission routes2
Has abstractyes

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