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Record W2267335849 · doi:10.55016/ojs/ajer.v60i4.55847

The Last Stand: Schools, Communities and the Future of Rural Nova Scotia (2013) by Paul W. Bennett

2015· article· en· W2267335849 on OpenAlexaffvenueabout
Heather E. McGregor

Bibliographic record

VenueAlberta Journal of Educational Research · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Systems and Policy
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsNova scotiaNova (rocket)Political scienceSociologyGeographyArchaeologyEngineeringAeronautics

Abstract

fetched live from OpenAlex

The Last Stand: Schools, Communities and the Future of Rural Nova Scotia is a study in publication-as-advocacy, providing both a short history of the advocacy movement in question and contributing to the movement's aims.For educational researchers, administrators, and leaders interested in policy, society, and the urban/rural divide in school systems, his work provides a detailed snapshot of a moment in time within a changing space.It holds the mark of a historian writing for the future, offering a perspective that has not been sobered by the passage of time.Inherent in that paradox is the book's strength as a tool for contemporary use and its weakness in offering a limited scope.Still, advocates for small schools and other increasingly unpopular educational models will find helpful suggestions in terms of both logic and logistics contained in Bennett's treatise.Bennett documents the controversy surrounding the closure of small rural schools as a cofounder of the Nova Scotia Small Schools Initiative.Evidently, his primary audience is Nova Scotia's electorate, and individuals participating directly in the dialogue about this particular but significant educational policy debate.As someone interested in the issues but uninvolved in the context, I read The Last Stand partially for Bennett's insights into broader questions relevant to other jurisdictions.Questions such as: How well can small schools in rural communities educate youth for the changing opportunities available to them as adults?What is the role of communities that have only marginal political and economic clout in decision-making associated with school administration?How do provincial and territorial governments engage communities respectfully in establishing and implementing operational policies and practices?What recourse do rural, small, or minority communities have when their educational values are not reflected in public institutions?And how can the call for efficiency and expediency be negotiated by advocacy organizations that wish to attach value to non-monetary aspects of schools, such as positive relationships between teachers and students?Some evidence and strategies useful to answering these questions can certainly be found in The Last Stand.At the heart of Bennett's behind-the-scenes story about grassroots mobilization to defend small schools are the twin issues of school consolidation and rural depopulation.Nova Scotia's population is divided evenly between communities designated as urban and rural.Rurality in Nova Scotia is of an extreme nature in comparison to other parts of Canada.Most towns have less than 5,000 inhabitants and are dealing with poverty, unemployment, and population decline.Declining student enrolment leads to surplus school building space, which has in turn

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.270
Threshold uncertainty score0.543

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.004
Scholarly communication0.0090.003
Open science0.0010.003
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0060.001

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 head0.086
GPT teacher head0.432
Teacher spread0.346 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2015
Admission routes3
Has abstractyes

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