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Record W7018787395

Environmental Activism on the Ground: Small Green and Indigenous Organizing

2019· book· en· W7018787395 on OpenAlexvenueaboutno aff

Bibliographic record

VenueLibraries and Cultural Resources (University of Calgary) · 2019
Typebook
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmentalismIndigenousEnvironmental movementFlourishingThrivingScholarshipEnvironmental historyNatural resourceResource (disambiguation)
DOInot available

Abstract

fetched live from OpenAlex

Environmental Activism on the Ground draws upon a wide range of interdisciplinary scholarship to examine small-scale, local environmental activism, paying particular attention to Indigenous experiences. It illuminates the questions that are central to the ongoing evolution of the environmental movement while reappraising the history and character of late twentieth and early twenty-first-century environmentalism in Canada, the United States, and beyond. This collection considers the different ways in which Indigenous and non-Indigenous activists have worked to achieve significant change. It examines attempts to resist exploitative and damaging resource developments, and the establishment of parks, heritage sites, and protected areas that recognize the indivisibility of cultural and natural resources. It pays special attention to the thriving environmentalism of the 1960s through the 1980s, an era which saw the rise of major organizations such as Greenpeace along with the flourishing of local and community-based environmental activism. Environmental Activism on the Ground emphasizes the effects of local and Indigenous activism, offering lessons and directions from the ground up. It demonstrates that the modern environmental movement has been as much a small-scale, ordinary activity as a large-scale, elite one. With Contributions By: Jonathan Clapperton, Jessica M. DeWitt, Sterling Evans, Zoltán Grossman, Tobasonakwut Peter Kinew, Mark Leeming, Mark J. McLauchlin, Liza Piper, John R. Welsch, Anna J. Willow, and Frank Zelko.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.945
Threshold uncertainty score0.996

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 studies0.0060.001
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 head0.012
GPT teacher head0.183
Teacher spread0.171 · 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
GenreOther

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
Published2019
Admission routes2
Has abstractyes

Explore more

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