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Record W2901640548 · doi:10.15367/kf.v5i2.216

Community Mobilization to Address Environmental Racism: The South End Environmental Injustice Society

2018· article· en· W2901640548 on OpenAlexaboutno aff
Louise Delisle, Ellen Sweeney

Bibliographic record

VenueKalfou A Journal of Comparative and Relational Ethnic Studies · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicEnvironmental Justice and Health Disparities
Canadian institutionsnot available
Fundersnot available
KeywordsInjusticeGrassrootsEnvironmental justiceRacismNova scotiaPolitical scienceEnvironmental planningEnvironmental historyEnvironmentalismCommunity mobilizationSociologyGeographyHistoryEthnologyGender studies

Abstract

fetched live from OpenAlex

There is a long history of environmental racism in Nova Scotia, with industrial pollution and other environmental hazards located near communities of color and the working poor. In Shelburne, African Nova Scotian residents live primarily in the south end of town, which is also the site of a landfill that was used for industrial, medical, and residential waste over a period of seventy-five years. The South End Environmental Injustice Society (SEED) is a nonprofit community initiative that represents a direct grassroots response to the siting of the landfill near the African Nova Scotian and working-poor community in Shelburne. Members of this collective organization have developed an approach that allows for the contributions of all members, in an effort that addresses issues of environmental racism and responds in a way that is continually evolving. Ultimately, SEED hopes that evidence-based strategies will be used to improve health outcomes and reduce the prevalence of chronic disease as a result of everyday exposures to toxic substances experienced by Black community members in Shelburne.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.350
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
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 head0.195
GPT teacher head0.425
Teacher spread0.229 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueKalfou A Journal of Comparative and Relational Ethnic StudiesSame topicEnvironmental Justice and Health DisparitiesFrench-language works237,207