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Record W3125577093 · doi:10.7939/r3jd4pq81

Community Response to Forestry Transition in Rural Canada: Analysis of Media and Census Data for Six Case Study Communities in New Brunswick and British Columbia

2011· article· en· W3125577093 on OpenAlexaboutno aff
Mark F. Smith, John R. Parkins

Bibliographic record

VenueProject Report Series · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicForest Management and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsCensusLiberian dollarDiversification (marketing strategy)MillGovernment (linguistics)GeographyAmerican Community SurveyEconomyEconomic growthPolitical scienceBusinessEconomicsPopulationFinanceSociology

Abstract

fetched live from OpenAlex

The forest economy is in transition across Canada. Faced with high dollar values, increasing competition within the global market, high input costs for energy, labour and fibre, and growing expectations for environmental performance, the forest sector is undergoing significant economic transitions as companies across the country cut costs, close mills and shed jobs. This report contributes to our understanding of community response to mill closure with a detailed description of six case study communities during a period of forest industry mill closures. Three communities are in British Columbia (Mackenzie, Quesnel and Fort St. James) and three communities are in New Brunswick (Dalhousie, Nackawic and Mirimachi). Empirical information is derived from national and local media reports as well as recent data from the Census of Canada. Key thematic areas include resilience, economic diversification, the nature of mill closure, union involvement, government involvement and concerns over government policy changes such as appurtenancy.

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)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.213

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.013
Science and technology studies0.0050.001
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.061
GPT teacher head0.284
Teacher spread0.223 · 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 designObservational
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
Published2011
Admission routes1
Has abstractyes

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