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Record W1864922605 · doi:10.1017/cbo9780511978678.005

A “watershed” case for community forestry in British Columbia's interior: the Creston Valley Forest Corporation

2012· book-chapter· en· W1864922605 on OpenAlexaffabout
Ryan Bullock, Kevin Hanna

Bibliographic record

VenueCambridge University Press eBooks · 2012
Typebook-chapter
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsWilfrid Laurier UniversityUniversity of Saskatchewan
Fundersnot available
KeywordsWatershedForestryCorporationGeographyArchaeologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

This chapter provides a case study of the early grassroots organizing and operational challenges in what has been widely regarded as a success story for community forestry. The reality is that Creston's community forest has had to struggle to maintain itself, remain viable and build local support. The story of the Creston Valley Forest Corporation (CVFC) provides the archetypical case of the promise and the implementation challenges associated with community forestry in a conflicted, multiple-use forest setting. COMMUNITY CONTEXT, TOWN OF CRESTON, BRITISH COLUMBIA The community of Creston is located in the Kootenay region of British Columbia's interior, just north of the US border. The 8.5-km 2 town site lies in the scenic Kootenay River Valley, bounded by the Selkirk and Purcell Mountains. Incorporated as a municipality in 1924, the current population is 4,826 (Statistics Canada 2006). Creston is surrounded by a number of unincorporated communities and large tracts of Crown land within the Regional District of Central Kootenay (Creston 2005). The Lower Kootenay Indian Band (of Ktunaxa First Nation) has 25.5 km 2 of reserve land in the vicinity. Mining was the main interest of the first European settlers who pushed north from the United States via the Dewdney Trail in the late 1800s (Creston 2001). But by the early 1900s, agriculture and forestry became the main drivers of the local economy. The first sawmill was built in the first decade of the 1900s, and fruit and grain agriculture became highly productive. As in the rest of British Columbia, Creston’s forest economy is in transition. Notably, Crestbrook Forest Industries began scaling back operations in the early 1980s, closing its Creston mill in 1991 (Sunderman 2003). Wood processing operations were moved to nearby Cranbrook so that half of the wood harvested in the Creston area is now processed out of town. J. H. Huscroft Ltd. and Wyndell Box Ltd. are the largest lumber mills operating in the Creston area, consuming about 260,000 m 3 of wood annually (Creston 2004). These local mills now heavily depend upon private wood supplies because of regional wood shortages.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.051
Threshold uncertainty score0.316

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0330.009
Scholarly communication0.0070.001
Open science0.0010.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0080.000

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 head0.033
GPT teacher head0.208
Teacher spread0.176 · 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 designQualitative
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

Citations0
Published2012
Admission routes2
Has abstractyes

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Same venueCambridge University Press eBooks→Same topicCanadian Identity and History→French-language works237,207→