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Record W1846815690 · doi:10.22230/jem.2009v10n2a427

An Indigenous perspective on economic sustainability in mountain pine beetle-affected communities

2009· article· en· W1846815690 on OpenAlexaff
Natasha Caverley

Bibliographic record

VenueJournal of Ecosystems and Management · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicForest Management and Policy
Canadian institutionsKamloops Art Gallery
Fundersnot available
KeywordsSustainabilityIndigenousMountain pine beetleEnvironmental resource managementPerspective (graphical)GeographyPolitical scienceEcologyEnvironmental planningEconomicsForestry

Abstract

fetched live from OpenAlex

The mountain pine beetle (MPB) infestation has created momentum for change in British Columbia. Over the past 3 - 4 years, the formation of collaborative networks and other innovative partnerships, such as the First Nations Mountain Pine Beetle Initiative (FNMPBI), has identified strengths in multiagency economic development dialogue and problem solving. For the 103 First Nations communities affected by the MPB, a need exists to further transform this collaborative and synergistic atmosphere into tangible economic gains for local communities, whereby First Nations are full partners (rather than mere stakeholders) in the design and implementation of joint decision making, integrated planning, and sectoral strategy development for traditional lands. Equally important is the opportunity to acknowledge First Nations knowledge, values, and connection to nature and the surrounding land base. This commentary reflects on key discussion points that arose during the FNMPBI strategic planning sessions and the respective implications for advancing economic sustainability in MPB-affected First Nations communities in British Columbia.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.589
Threshold uncertainty score0.838

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 head0.006
GPT teacher head0.258
Teacher spread0.252 · 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 designObservational
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

Citations3
Published2009
Admission routes1
Has abstractyes

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