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Record W80771144 · doi:10.4324/9780429304545

Resource Communities: A Decade of Disruption

2020· book· en· W80771144 on OpenAlexaboutno aff
Don D Detomasi, John W. Gartrell

Bibliographic record

Venuenot available
Typebook
Languageen
FieldEconomics, Econometrics and Finance
TopicNatural Resources and Economic Development
Canadian institutionsnot available
Fundersnot available
KeywordsResource (disambiguation)Natural resource economicsComputer scienceGeographyEnvironmental resource managementEnvironmental scienceEconomics

Abstract

fetched live from OpenAlex

This volume consists of eleven papers that survey the state of the art in research and public policy regarding specific problems and opportunities confronted by resource communities. The papers are international in scope, dealing with the experiences of resource communities in four nations-Canada, Norway, the United Kingdom, and the United States. The decade 1972-1982 was a turbulent one for resource development in the Western industrialized nations. The environmental movement led to state and national systems of regulation and control over this type of activity during the early 1970s, and rapid economic growth and the energy crisis stimulated resource development, particularly energy resource development, of an unprecedented scale during the middle years. Finally, the end of the decade witnessed a dramatic decline in resource development as a result of severe economic recession and an energy surplus. The effects of these sudden and significant changes have been felt most sharply by resource communities the small, often isolated and dependent towns that are focus of this book.

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)0.002
metaresearch head score (Gemma)0.005
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: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.005
Science and technology studies0.0060.010
Scholarly communication0.0140.017
Open science0.0010.006
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0100.002

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 head0.045
GPT teacher head0.216
Teacher spread0.170 · 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
GenreOther

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

Citations29
Published2020
Admission routes1
Has abstractyes

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