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Record W2908764118 · doi:10.1139/cjfr-2018-0233

Framing the governance lifecycle of First Nations – industry forestry collaboration in northwestern Ontario, Canada

2019· article· en· W2908764118 on OpenAlexafffundvenueabout
Melanie Zurba

Bibliographic record

VenueCanadian Journal of Forest Research · 2019
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsUniversity of Manitoba
FundersSocial Sciences and Humanities Research Council of CanadaNorthwestern University
KeywordsGeneral partnershipCorporate governanceFraming (construction)Community forestryForestryBusinessForest industryEnvironmental resource managementForest managementPolitical scienceEnvironmental planningGeographyEngineeringFinanceEconomicsCivil engineering

Abstract

fetched live from OpenAlex

Forestry companies and First Nations are increasingly working together through new forms of collaborative arrangements. Wincrief Forest Products is an example of such collaboration and was a partnership between Wabaseemoong Independent Nations and forestry and construction professionals from northwestern Ontario. Wincrief Forest Products was initiated in 2004 leading to its formalization in 2009 as a home building and later hydro pole production company based on wood harvesting within the Wabaseemoong Traditional Land Use Area. In April 2014, Wincrief Forest Products ceased operation. This article provides a governance and social frame analysis for the full lifecycle of Wincrief Forest Products and addresses important knowledge gaps around perspectives driving each stage of First Nation – industry partnerships and how such perspectives affect the way that collaboration is initiated, sustained, and potentially collapsed. Fourteen key informants involved in the initiation, governance, and day-to-day operations of Wincrief Forest Products were interviewed. Towards understanding the lifecycle of the collaboration, a frame analysis is applied, which focuses on understanding the different issues, solutions, roles, and responsibilities relating to the Wincrief Forest Products lifecycle. Insights from this research are important for understanding the unique needs and perspectives of First Nations and industry partners involved in governance and the development of best practices for industry – First Nation collaboration.

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 score0.185
Threshold uncertainty score0.582

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.014
GPT teacher head0.239
Teacher spread0.225 · 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

Citations6
Published2019
Admission routes4
Has abstractyes

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