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Navigating industrial decline: A case study of place attachment and social capital in economic transition –Valemount, British Columbia

2024· article· en· W4404624050 on OpenAlex
Richard J. Darko, Greg Halseth

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Rural Studies · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicPlace Attachment and Urban Studies
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsSocial capitalTransition (genetics)Place attachmentCapital (architecture)Economic geographySociologyPolitical scienceEconomyEconomic historyGeographyEconomicsSocial sciencePsychologyArchaeologySocial psychology

Abstract

fetched live from OpenAlex

Valemount, a small town situated in the heart of British Columbia (BC), has long relied on the forest industry as its economic foundation. The closure of the local mills greatly impacted the community, disrupting its economic stability and social relations. Despite the harsh economic conditions faced by resource towns, limited senior government intervention forces local communities to self-organize and adapt to changing economic landscapes. This case study investigates three key questions: First, how does place attachment contribute to the formation of social capital? Second, how does the resulting social capital facilitate community responses to economic transitions? Finally, what forms of tension or resistance emerged during these transition processes? The study suggests that rural economic transitions are influenced by the inherent social dynamics and emotional connections within communities. It highlights that social capital alone does not drive community-led initiatives, adaptive governance, and collaborative problem-solving; rather, its effectiveness is largely influenced by place attachment. By recognizing and leveraging social connections through people's attachment to their community, small resource towns can harness collective strengths to navigate economic challenges and create sustainable futures. This research contributes to a deeper understanding of how place attachment drives social capital mobilization during economic downturns, while also examining the resistance and conflicts that shape these processes, contributing to the broader research on place-based development. • Industrial decline often disrupts economic stability and social fabric. • Neoliberal state polices limit government intervention, burdening communities to self-organize and adapt to economic change. • Place attachment spurs efforts to strengthen social cohesion and ties amidst industrial decline. • Tensions during the transition process underscore the complexities of navigating economic change in small resource-dependent towns.

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.

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.386
Threshold uncertainty score0.944

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
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 head0.049
GPT teacher head0.375
Teacher spread0.325 · 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