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Foregrounding ecojustice: A case study on trans-species accompaniment

2022· article· en· W4415494851 on OpenAlexaff
Andrea Marais- Potgieter, Alison Faraday

Bibliographic record

VenuePsychology in society · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicConservation, Biodiversity, and Resource Management
Canadian institutionsDepartment of Environment and Conservation
Fundersnot available
KeywordsEmotiveContext (archaeology)ForegroundingVisitor patternCitizen journalismGrassrootsAgency (philosophy)Citizen scienceEnvironmental impact assessment

Abstract

fetched live from OpenAlex

A tsunami of development projects is sweeping across the planet. This includes another 25 million kilometres of new paved roads by 2050 – enough to encircle the globe more than 600 times. Approximately 90% of these new roads will be built in low- and middle-income countries that are likely to have high biodiversity. This paper focuses on the environmental impact of 1.2 km of road planned to be built through endangered western leopard toad habitat and breeding ponds and extending into a greater wetland system in Cape Town. This paper reports a case study of the experiences of two female community environmental activists (the authors) throughout the public participation process and environmental impact assessment for this road. The results show the contesting of power in public participatory spaces as a form of transspecies accompaniment, and the generation of emotive knowledge (including distress and a sense of betrayal). The paper contributes to the existing knowledge of the execution of trans-species accompaniment in the context of public participation processes to seek ecojustice.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.124
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.060
GPT teacher head0.311
Teacher spread0.251 · 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 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

Citations2
Published2022
Admission routes1
Has abstractyes

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