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Record W2273105854

Entrenched Instability: The Community Implications of Flexibility in British Columbia's Northern Interior

2014· article· en· W2273105854 on OpenAlexvenueaboutno aff
Richard M. Martin

Bibliographic record

VenueJournal of rural and community development · 2014
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsnot available
Fundersnot available
KeywordsRestructuringFlexibility (engineering)BrownfieldVisionResource (disambiguation)Economic restructuringEconomyBusinessForestryPolitical scienceEconomicsGeographySociologyFinanceManagement
DOInot available

Abstract

fetched live from OpenAlex

Economic restructuring of British Columbia's forestry sector, stimulated by the recession in the 1980s, has challenged the viability of the post-war institutions and economic landscape. This period marked an end the expansion of the forestry sector as industry and the province worked to contend with a number of global and local pressures. Restructuring instigated processes whereby engrained institutional arrangements were dismantled and redefined. This paper examines how forestry companies are redefining relationships at the local level, enacting flexibility outside of the mill, within communities. The analysis of case study findings from three communities explore how companies have negotiated flexibility and rationalized business practices in an effort to address uncertainty. These processes have exposed the inherent tension between companies and communities regarding relationships. Furthermore, corporate visions of 'flexible communities' ignore the structural and geographic realities embedded within resource-dependent communities. The push for flexibility within the forestry sector and resourcedependent communities has resulted in exacerbating longstanding issues of dependence, vulnerability, and disparity; a result that runs contrary to the interest of the province, resource-communities, and forestry companies. Keywords: flexibility; restructuring; resource towns; forestry; local development

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.524
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.016
GPT teacher head0.215
Teacher spread0.198 · 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 teacher head, 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

Citations1
Published2014
Admission routes2
Has abstractyes

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