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Record W2975599723 · doi:10.1057/s41271-019-00186-1

Oil pipelines and food sovereignty: threat to health equity for Indigenous communities

2019· review· en· W2975599723 on OpenAlexafffundabout
Michael E. Jonasson, Samuel J. Spiegel, Sarah Thomas, Annalee Yassi, Hannah Wittman, Tim K. Takaro, Reza Afshari, Michael Markwick, Jerry Spiegel

Bibliographic record

VenueJournal of Public Health Policy · 2019
Typereview
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsCapilano UniversityBC Centre for Disease ControlSimon Fraser UniversityUniversity of British Columbia
FundersCanadian Institutes of Health Research
KeywordsIndigenousClimate changeNatural resource economicsPublic healthSustainabilityFood sovereigntyEnvironmental planningEnvironmental healthEquity (law)Environmental protectionBusinessGeographyPolitical scienceAgricultureFood securityEcologyEconomicsLawBiologyMedicine

Abstract

fetched live from OpenAlex

Energy projects may profoundly impact Indigenous peoples. We consider effects of Canada's proposed Trans Mountain oil pipeline expansion on the health and food sovereignty of the Tsleil-Waututh Nation (TWN) through contamination and impeded access to uncontaminated traditional foods. Federal monitoring and TWN documentation show elevated shellfish biotoxin levels in TWN's traditional territory near the terminus where crude oil is piped. Although TWN restoration work has re-opened some shellfish-harvesting sites, pipeline expansion stands to increase health risk directly through rising bioaccumulating chemical toxins as well as through increased hazardous biotoxins. Climate change from increased fossil fuel use, expected via pipeline expansion, also threatens to increase algae blooms through higher temperature and nutrient loading. As the environmental impact assessment process failed to effectively consider these local health concerns in addition to larger impacts of climate change, new assessment is needed attending to linked issues of equity, sustainability and Indigenous food sovereignty.

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)0.015
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.939
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.001
Bibliometrics0.0020.001
Science and technology studies0.0070.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.002
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 head0.489
GPT teacher head0.576
Teacher spread0.087 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations46
Published2019
Admission routes3
Has abstractyes

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