MétaCan
Menu
← Back to cohort
Record W4300622129 · doi:10.53892/igap7817

Exploring First Nation-held Forest Tenures and Community Forest Enterprises in British Columbia

2017· report· en· W4300622129 on OpenAlexaboutno aff
Joleen Timko, Stefania Pizzirani, Robert Kozak, Gary Bull

Bibliographic record

Venuenot available
Typereport
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousWoodlandFirst nationGeographyLicensePolitical scienceForestryEcologyLaw

Abstract

fetched live from OpenAlex

The purpose of this report is to situate existing knowledge on First Nation-held forestry tenures and community forest enterprises (CFEs) in British Columbia, Canada within a broader discussion about Indigenous and non-Indigenous community forests in Canada. This report provides 1) A brief characterization of Indigenous forestry partnerships across Canada; 2) A description of the two most common First Nation-held forest tenures within British Columbia: the First Nations Woodland License and the community forest agreement; 3) An assessment of challenges and constraints facing First Nation-led CFEs in British Columbia; 4) An assessment of key enabling conditions in First Nation-led CFEs in British Columbia; and 5) Recommendations to enable Indigenous communities, policymakers, the private sector, and supporting institutions to strengthen the business proposition of Indigenous-led CFEs in British Columbia and elsewhere in Canada.

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)0.001
metaresearch head score (Gemma)0.005
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: Empirical
Teacher disagreement score0.072
Threshold uncertainty score0.519

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.010
Science and technology studies0.0090.002
Scholarly communication0.0050.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.157
GPT teacher head0.289
Teacher spread0.132 · 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
Published2017
Admission routes1
Has abstractyes

Explore more

Same topicCanadian Identity and History→French-language works237,207→