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Record W2802692294

Capitals, climate change and food security: Building sustainable food systems in northern Canadian Indigenous communities

2018· article· en· W2802692294 on OpenAlexaboutno aff
Andrew Spring

Bibliographic record

VenueScholars Commons (Wilfrid Laurier University) · 2018
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsFood securityClimate changeFood systemsIndigenousSustainable agricultureGeographyEnvironmental planningEnvironmental resource managementEnvironmental protectionEnvironmental scienceEcologyAgriculture
DOInot available

Abstract

fetched live from OpenAlex

For many Indigenous communities in Canada’s northern boreal forest, the impacts of climate change are directly affecting their ability to access the land they rely on for traditional foods to support their food systems and livelihoods. However, climate change is merely one stressor for communities that have undergone dramatic social, cultural and political changes during the past decades. This research examines case studies in the communities of Délı̨nę and Kakisa, Northwest Territories (NWT), and identifies community-based solutions to build more sustainable food systems with a focus on food security and climate change. Using participatory action research methods to ensure the process is community-driven and responds to stakeholder needs, each case study identifies vulnerabilities to the respective food systems due to climate change. The Community Capitals Framework – including social, cultural, natural, financial, human, built and political capital – is used to describe and assess the complex food systems in the North. The research illustrates how a community can allocate available capitals to help adapt to the impacts of climate change and identify which capitals are required to build a more sustainable food system. In both communities, addressing issues of food security involved protecting natural capital as well as social and cultural capitals, all of which are important to maintaining traditional foods as the foundation of the food system. The capacity to teach and pass on skills and knowledge to the younger generation, and work together as a community but also with researchers and broader networks, can help promote knowledge sharing. This in turn will enhance resilience in the community in the face of climate change. Building human capital through training and education, and being supported through funding and a network of organizations, was also key to providing long-term food security to the communities through the growing of food and enhanced monitoring of the land. Issues of place, space and scale drive small differences in the food systems in these communities where access to, and availability of, different capitals shape food systems in different ways. However, having access to political capital, or decision-making authority over food and land resources, emerged as a critical capital that could develop, or spiral up, other capitals and shift conversations about food security towards issues of food sovereignty in the North. This research sheds light on the complex interactions of different capitals of community food systems and highlights the importance of place-based solutions as well as the need for regional cooperation and networks to address food security issues in the North.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.702
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0120.000
Scholarly communication0.0000.001
Open science0.0010.001
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 head0.032
GPT teacher head0.264
Teacher spread0.232 · 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.

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

Citations2
Published2018
Admission routes1
Has abstractyes

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