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Come Hell or High Water: Identity and Resilience in a Mining Town

2015· article· en· W2536404031 on OpenAlexaff
Janelle Skeard

Bibliographic record

VenueLondon Journal of Canadian Studies · 2015
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsProsperityResource (disambiguation)Closure (psychology)Identity (music)Psychological resilienceBusinessProcess (computing)RecessionDevelopment economicsEconomic growthEconomicsMarket economy

Abstract

fetched live from OpenAlex

Mining communities, particularly those entirely dependent on mineral resources, are especially vulnerable to economic downturn due to the nonrenewable nature of the industry and reliance on external market factors. For residents who live in mining towns and have strong ties to the industry, the loss of major employment deals a particularly devastating blow. Research has shown that mining creates a particular sense of identity and community, which persists long after the resource is exhausted. Although much research has been conducted on how communities adapt to and cope with closure, little is known about the role that identity and sense of community play in this process. Around the world, mining developments bring significant prosperity to communities, regions, and countries with several actors depending on the industry for economic stability. Without an understanding of the many ways mining communities adapt to closure, we are unable to use this knowledge to help resource-dependent regions persevere through eras of economic bust and resource-based turbulence.

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)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.490
Threshold uncertainty score0.902

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.036
GPT teacher head0.250
Teacher spread0.214 · 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 designNot applicable
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

Citations12
Published2015
Admission routes1
Has abstractyes

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