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Record W4232886993 · doi:10.2307/j.ctv64h6rb

Canadian Countercultures and the Environment

2016· book· en· W4232886993 on OpenAlexfundaboutno aff

Bibliographic record

VenueUniversity of Calgary Press eBooks · 2016
Typebook
Languageen
FieldEnvironmental Science
TopicAmerican Environmental and Regional History
Canadian institutionsnot available
FundersCanada Council for the ArtsGovernment of Canada
KeywordsGeography

Abstract

fetched live from OpenAlex

Studies of the radical environmental politics of the 1960s have tended to downplay the extent to which much of that countercultural intellectual and social ferment continued into the 1970s and 1980s. Canadian Countercultures and the Environment adds to our knowledge of this understudied period. This collection contributes a sustained analysis of the beginning of major environmental debates in this era and examines a range of issues related to broad environmental concerns, topics which emerged as key concerns in the context of Cold War military investments and experiments, the oil crisis of the 1970s, debates over gendered roles, and the increasing attention to urban pollution and pesticide use. No other publication dealing with this period covers the wide range of environmental topics (among others, activism, midwifery, organic farming, recycling, urban cycling, and communal living) or geographic locales, from Yukon to Atlantic Canada. Together, they demonstrate how this period influenced and informed environmental action and issues in ways that have had a long-term impact on Canadian society. With contributions by: Matt Cavers Megan Davies Nancy Janovicek Alan MacEachern David Neufeld Ryan O'Connor Daniel Ross Henry Trim Sharon Weaver

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, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.288
Threshold uncertainty score1.000

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 studies0.0000.008
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.005
GPT teacher head0.134
Teacher spread0.129 · 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

Citations1
Published2016
Admission routes2
Has abstractyes

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