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Record W7067797748

Nature's Past Episode 034: Histories of Canadian Environmental Issues, Part IV – The Canadian Environmental Movement II

2013· other· en· W7067797748 on OpenAlexaboutno aff

Bibliographic record

VenueYork University Digital Library (York University) · 2013
Typeother
Languageen
FieldDecision Sciences
TopicScientific Computing and Data Management
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental movementEnvironmental historyOpposition (politics)Context (archaeology)Movement (music)Environmental changeEnvironmentalismState (computer science)
DOInot available

Abstract

fetched live from OpenAlex

The environmental movement is one of the most popular topics in Canadian environmental history. At present, the environmental movement in Canada is at a bit of a crossroads. Having finally moved beyond simply outlining worst practices and their consequences, the last decade has witnessed proactive solutions and workable alternatives to every kind of environmental problem. Yet, this comes at the same time as economic turmoil and ideological opposition from government. Recently, David Suzuki has even gone so far as to argue that “Environmentalism has failed.” Given this crossroads, environmental historians offer the context needed to understand the state of the environmental movement in this country today
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\nOn this second part of our look at the history of the environmental movement in Canada we speak with a group of leading environmental historians, including Jonathan Clapperton, Frank Zelko, Ryan O’Connor, and Mark McLaughlin about the origins of the movement and its transformations since the end of the Second World War.
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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 categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.180
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0040.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.001

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 head0.018
GPT teacher head0.178
Teacher spread0.160 · 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; both teacher heads agree on what is shown here.

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
Published2013
Admission routes1
Has abstractyes

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