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Record W2188598944

Exploring Local Economic Development: The Challenges of Cape Breton Island

2008· dissertation· en· W2188598944 on OpenAlexaboutno aff
Brian Benedict Gruters

Bibliographic record

VenueUWSpace (University of Waterloo) · 2008
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicRural development and sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsCapeGeographyArchaeology
DOInot available

Abstract

fetched live from OpenAlex

Economic development in the declining Maritime Provinces has proven to be an intractable problem over the last 70 years. Efforts have ranged from capitalist industrial resource extraction to worker-owned producer co-operatives. Yet, throughout its many variations, these initiatives have done little to secure the long-term economic security of Canada’s most marginalized rural communities, such as those on the western coast of Cape Breton Island. Efforts toward this end during the closing decades of the twentieth century, up to present date, have applied market-led development strategies paralleling trends in the increasingly fluid global market economy. This local economic development approach, it is argued, reinforces economic dependency established during the last century’s staples commodity extraction, even as it attempts to reduce it and promote communities’ unique socio-cultural values, through ‘local ownership’ of integration into the market economy. An analysis of conventional approaches to economic development and ‘local ownership’, that focuses on two communities in rural western Cape Breton, demonstrates this point. Several alternatives to conventional economic development are considered, with a particular emphasis on the two Cape Breton communities.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.267
Threshold uncertainty score0.538

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0090.007
Scholarly communication0.0060.002
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.032
GPT teacher head0.182
Teacher spread0.150 · 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

Citations1
Published2008
Admission routes1
Has abstractyes

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