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Record W4405157981 · doi:10.32674/yxryss22

Searching for modernization

2024· article· en· W4405157981 on OpenAlexaffabout
Gregory R. L. Hadley

Bibliographic record

VenueJournal of Interdisciplinary Studies in Education · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRural development and sustainability
Canadian institutionsSt. Francis Xavier University
Fundersnot available
KeywordsModernization theoryNova scotiaEconomic stagnationEcological modernizationEntrepreneurshipPolitical scienceEconomic growthEconomicsDevelopment economicsSociologyEthnology

Abstract

fetched live from OpenAlex

This paper considers the theoretical underpinnings of rural out-migration and economic stagnation, specific to rural Nova Scotia, Canada, and argues that rural Nova Scotia has, in part, misapplied the tenets of modernization. It situates out-migration, and economic stagnation, amongst Modernization Theory and considers how economic rejuvenation, vis a vis entrepreneurship education, can, potentially, revivify the topophilic bonds between person and (rural) community. Structurally, this paper argues three points: first, that rural Nova Scotia is enduring a misapplication of modernization, resulting in a lingering traditionalism that pushes people out and dampens economic growth. Second, that rural Nova Scotia would benefit from a structural shift in its economic model and third, that community economic development through entrepreneurship stands a reasonable chance of reserving the social and economic misfortune now ubiquitous in the areas outside of Nova Scotia’s capital region.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.164
Threshold uncertainty score0.326

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.011
Scholarly communication0.0050.004
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0120.001

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 head0.049
GPT teacher head0.399
Teacher spread0.350 · 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

Citations2
Published2024
Admission routes2
Has abstractyes

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