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Record W4205747570 · doi:10.1590/1809-43412021v18a704

Studying Across: Anthropology, Conflict Transformation and Cultural Violence in Environmental Conflict

2021· article· en· W4205747570 on OpenAlex
Brenda J. Fitzpatrick

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueVibrant Virtual Brazilian Anthropology · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicHydropower, Displacement, Environmental Impact
Canadian institutionsnot available
Fundersnot available
KeywordsConflict transformationIndigenousEthnographyPerspective (graphical)SociologyStructural violenceConflict resolutionEnvironmental ethicsCultural anthropologyEnvironmental changeCultural conflictAnthropologyPolitical scienceSocial scienceEcologyPoliticsLawClimate change

Abstract

fetched live from OpenAlex

Abstract Using the example of the controversial Site C dam in British Columbia, Canada, this article describes how ethnographic research that incorporated a conflict transformation perspective and included individuals from both sides of the issue highlighted both contrasting views on human-environment relations and the inequitable conditions under which they met through the Environmental Assessment process. The article argues that an anthropological approach that incorporates a conflict transformation perspective is particularly well-suited to identify, and potentially to address, the “discourses, narratives, and worldviews” (Rodriguez and Inturias 2018: 96) that operate as “cultural violence” (Galtung, 1990) in state-Indigenous environmental conflicts, legitimating structural and environmental violence.

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.

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, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.358
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
Bibliometrics0.0000.000
Science and technology studies0.0010.009
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.028
GPT teacher head0.406
Teacher spread0.378 · 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