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Record W3165251087 · doi:10.1017/9781108763851

The Power of the Periphery

2020· article· en· W3165251087 on OpenAlexfundno aff
Peder Anker

Bibliographic record

VenueCambridge University Press eBooks · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Philosophy and Ethics
Canadian institutionsnot available
FundersUniversity of ChicagoUniversity of OxfordNational Institutes of HealthMemorial University of NewfoundlandUniversity of CambridgeNational Science Foundation
KeywordsPower (physics)

Abstract

fetched live from OpenAlex

What is the source of Norway's culture of environmental harmony in our troubled world? Exploring the role of Norwegian scholar-activists of the late twentieth century, Peder Anker examines how they portrayed their country as a place of environmental stability in a world filled with tension. In contrast with societies dirtied by the hot and cold wars of the twentieth century, Norway's power, they argued, lay in the pristine, ideal natural environment of the periphery. Globally, a beautiful Norway came to be contrasted with a polluted world and fashioned as an ecological microcosm for the creation of a better global macrocosm. In this innovative, interdisciplinary history, Anker explores the ways in which ecological concerns were imported via Rachel Carson's Silent Spring in 1962, then to be exported from Norway back to the world at the Earth Summit in Rio de Janeiro in 1992. This title is also available as Open Access on Cambridge Core.

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)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.037
Threshold uncertainty score0.081

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.045
Scholarly communication0.0120.008
Open science0.0010.008
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.177
Teacher spread0.159 · 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 designTheoretical or conceptual
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

Citations0
Published2020
Admission routes1
Has abstractyes

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