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Record W2027328710 · doi:10.1177/0741713606297444

Adult Learning in New Social Movements: Environmental Protest and the Struggle for the Clayoquot Sound Rainforest

2007· article· en· W2027328710 on OpenAlexaffabout
Pierre Walter

Bibliographic record

VenueAdult Education Quarterly · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicAdult and Continuing Education Topics
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSocial movementContemptDenunciationEnvironmental educationEnvironmentalismSound (geography)SociologyEnvironmental movementTemperate rainforestCivil disobedienceAdult educationRainforestLawPolitical sciencePoliticsEcology

Abstract

fetched live from OpenAlex

During the summer of 1993, some 10,000 people, young and old, joined logging road blockades to protest the clear-cutting of old-growth temperate rainforest in Clayoquot Sound, British Columbia, Canada. By the end of the summer, more than 900 protestors had been arrested for acts of civil disobedience in refusing to leave the road. In subsequent mass trials, many were then convicted of criminal contempt of court and sentenced to jail terms and steep fines for their activism. Led primarily by women and espousing feminist principles of nonviolence and consensus decision making, the 1993 protests and Clayoquot Peace Camp became the focal point of an environmental movement that eventually spread far beyond the Sound. Framed by the field of adult learning in new social movements and environmental adult education, this article examines the history of Clayoquot Sound protest, its philosophy and practices of learning, education and activism, and its outcomes and significance to adult education.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.934
Threshold uncertainty score0.130

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0130.016
Scholarly communication0.0040.002
Open science0.0010.006
Research integrity0.0020.003
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 head0.009
GPT teacher head0.293
Teacher spread0.284 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations73
Published2007
Admission routes2
Has abstractyes

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