MétaCan
Menu
Back to cohort
Record W3021979340 · doi:10.3390/ijerph17093273

Gardening in Ashes: The Possibilities and Limitations of Gardening to Support Indigenous Health and Well-Being in the Context of Wildfires and Colonialism

2020· article· en· W3021979340 on OpenAlexaffabout
Kelsey Timler, Dancing Water Sandy

Bibliographic record

VenueInternational Journal of Environmental Research and Public Health · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicUrban Agriculture and Sustainability
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsIndigenousColonialismReciprocity (cultural anthropology)Context (archaeology)SovereigntyClimate changeTraditional knowledgeFood sovereigntyFood securityEnvironmental ethicsGeographyWell-beingPolitical scienceAgricultureSociologyEcologySocial sciencePoliticsArchaeology

Abstract

fetched live from OpenAlex

In this paper, we will discuss gardening as a relationship with nature and an ongoing process to support Indigenous health and well-being in the context of the climate crisis and increasingly widespread forest fires. We will explore the concept of gardening as both a Euro-Western agriculture practice and as a longstanding Indigenous practice-wherein naturally occurring gardens are tended in relationship and related to a wider engagement with the natural world - and the influences of colonialism and climate change on both. Drawing on our experiences as an Indigenous Knowledge Keeper (Dancing Water) and a non-Indigenous community-based researcher (Kelsey), our dialogue will outline ways to support health and well-being through land-based activities that connect with Indigenous traditions in ways that draw on relationships to confront colonialism and the influences of climate change. This dialogue is founded on our experiences in the central interior of British Columbia, Canada, one of the areas hit hardest by the 2017 wildfires. We will explore the possibilities and limitations of gardening and the wider concept of reciprocity and relationship as a means to support food security, food sovereignty, and health for Indigenous Peoples.

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)0.002
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 score0.196
Threshold uncertainty score0.187

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.081
GPT teacher head0.321
Teacher spread0.240 · 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

Citations17
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueInternational Journal of Environmental Research and Public HealthSame topicUrban Agriculture and SustainabilityFrench-language works237,207