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Record W7131412953 · doi:10.36939/ir.202602251510

Community-based Criteria and Values for Non-timber Forest Products Management in the Traditional Territory of the Missanabie Cree First Nation

2018· dissertation· en· W7131412953 on OpenAlexaffabout
Nicholas P. W. Palaschuk

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversity of Winnipeg
Fundersnot available
KeywordsTraditional knowledgeIndigenousCitizen journalismLocal communityParticipatory action researchParticipatory planningEthnobotanyForest managementCommunity forestryParticipatory management

Abstract

fetched live from OpenAlex

Despite the push for meaningful Indigenous participation in forest management, conventional top-down planning processes fail to sufficiently integrate local knowledge and values necessary to achieve truly sustainable forestry.As Indigenous communities regain control over their traditional territories, there continues to be a growing emphasis on developing locally adapted frameworks by which Indigenous communities and partners may achieve integrated development-conservation systems that reflect their values and aspirations.This communitybased case study explores the plurality of local values and perspectives within an Indigenous context, building on the experiences of the Missanabie Cree First Nation (MCFN) of Ontario, Canada.Using an inclusive and participatory approach, this research qualifies and elaborates on local criteria and critical local values surrounding non-timber forest product (NTFP) development and conservation within the MCFN traditional territory.Non-timber forest products are an important element of the spiritual and cultural identity of Canada's Indigenous communities, while playing a significant role in traditional economies.Current commercial forest management.systemsdo not adequately protect these natural resources Cas managers have yet to sufficiently incorporate both Western science and local Traditional Knowledge and experience into the planning process.Appliedethnobotany and policy analysis theory were used to develop a mixed-methods case study that developed a framework that allows for improved assessments of forest management in relation to the local landscape, community, and culture.Perspectives of Missanabie community members were analyzed through 26 semistructured interviews conducted in August 2016 that addressed specific components of the Traditional Ecological Knowledge (TEK) knowledge-practice-belief complex.Qualitative analysis documented and organized critical local values.Previous Criteria and Indicators (C&I)studies to help inform and guide qualitative coding processes and help saturate emergent criteria and elements.Qualitative results were used to develop a preference ranking questionnaire, administered to MCFN adults (2:18) as a mixed-mode survey.Quantitative findings were used to support qualitative interview by providing an index of relative importance within the community.Prioritized values helped to corroborate trends found throughout the interview results, provide the basis for NTFP development and conservation recommendations, and help provide direction for future planning.By drawing on multiple perspectives, the MCFN, as well as other parties, are able to better understand and make well informed decisions to address socio-ecological issues, begin reestablishing their own institutions directed towards managing forest access and use, and increasing local autonomy and self-determination in forest planning and decision-making processes.This analysis establishes key community-based objectives that have been prioritized by the community with the intent of promoting diverse socio-economic benefits, while advancing local forest management systems.Collaborative research findings will allow for Traditional Knowledge to be considered alongside Western scientific knowledge in working towards an NTFP development plan that can support social, economic, and environmental benefits to the Missanabie Cree community.This framework represents a starting for Missanabie in the forest planning process.Moving forward, leadership can continue to build and revise this framework to accommodate changing needs, further engage their membership, and in doing so perhaps further refine their roles in forest governance and decision-making processes.acknowledge that this research was conducted in the Treaty 9 territory.Without the participation and guidance ofthe Missanabie Cree community, this would not have been possible.In particular, I would like to thank Chief Jason

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)0.003
metaresearch head score (Gemma)0.003
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.140
Threshold uncertainty score0.298

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0200.012
Scholarly communication0.0060.001
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.062
GPT teacher head0.333
Teacher spread0.272 · 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".

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Citations0
Published2018
Admission routes2
Has abstractyes

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