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Record W7055116914

Co-Management Efforts as Social Movements: The Tin Wis Coalition and the Drive for Forest Practices Legislation in British Columbia

2009· article· en· W7055116914 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Library Of The Commons Repository (Indiana University) · 2009
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsStewardship (theology)LegislationCertified woodGovernment (linguistics)Forest managementSustainable forest management
DOInot available

Abstract

fetched live from OpenAlex

"In 1991, a model forest practices act that would radically transform methods of forest management in British Columbia was proposed by a coalition of First Nations, trade unions, environmentalists and small businesses. If implemented, the Tin Wis Forest Stewardship Act would see the province of British Columbia give a prominent forest management role to bioregional boards. The proposed legislation followed two decades of activism in the community forestry movement in BC and represented an attempt to institute a co-management agreement between the provincial government and the communities, aboriginal people and other stakeholders most affected by forestry practices in the long run. \n \n"The effort to write and raise support tor the Forest Stewardship Act provides an important opportunity to consider new middle-range theoretical propositions predicting the conditions under which co-management agreements successfully arise and persist. Co-management of Crown or state-owned forests in particular is an ideal vehicle for exploring co-management because of the numerous and tightly entwined resources involved in a forest ecosystem: fisheries, wildlife and water all 'flow through' the forest and have complex symbiotic relationships which are affected by changes to the forest."

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)0.004
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.077
Threshold uncertainty score0.557

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0400.015
Scholarly communication0.0120.003
Open science0.0020.010
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0070.000

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 head0.006
GPT teacher head0.203
Teacher spread0.197 · 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 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

Citations4
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueDigital Library Of The Commons Repository (Indiana University)Same topicMagnetic confinement fusion researchFrench-language works237,207