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Record W4391372139 · doi:10.51644/9781554589241

Sustaining the West

2015· book· en· W4391372139 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typebook
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Economic and Social Development
Canadian institutionsnot available
Fundersnot available
KeywordsGeography

Abstract

fetched live from OpenAlex

Western Canada’s natural environment faces intensifying threats from industrialization in agriculture and resource development, social and cultural complicity in these destructive practices, and most recently the negative effects of global climate change. The complex nature of the problems being addressed calls for productive interdisciplinary solutions. In this book, arts and humanities scholars and literary and visual artists tackle these pressing environmental issues in provocative and transformative ways. Their commitment to environmental causes emerges through the fields of environmental history, environmental and ecocriticism, ecofeminism, ecoart, ecopoetry, and environmental journalism. This indispensable and timely resource constitutes a sustained cross-pollinating conversation across the environmental humanities about forms of representation and activism that enable ecological knowledge and ethical action on behalf of Western Canadian environments, yet have global reach. Among the developments in the contributors’ construction of environmental knowledge are a focus on the power of sentiment in linking people to the fate of nature, and the need to decolonize social and environmental relations and assumptions in the West.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.588
Threshold uncertainty score0.828

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0150.011
Scholarly communication0.0130.006
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0200.005

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 head0.046
GPT teacher head0.206
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; 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 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

Citations2
Published2015
Admission routes1
Has abstractyes

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