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Record W7056931637

Gender and Climate Change Research : Moving Beyond Transformative Adaptation

2020· other· en· W7056931637 on OpenAlexaboutno aff

Bibliographic record

VenueDuo Research Archive (University of Oslo) · 2020
Typeother
Languageen
FieldMaterials Science
TopicHigh voltage insulation and dielectric phenomena
Canadian institutionsnot available
Fundersnot available
KeywordsTransformative learningThrivingClimate changeAdaptation (eye)Political economy of climate changeClimate justicePoliticsPower (physics)
DOInot available

Abstract

fetched live from OpenAlex

Research on how communities in the Arctic can overcome the challenge of climate change have traditionally employed adaptation frameworks. The ability of these groups to continue thriving in the Arctic is complicated by historical, social, economic, and political complexities - issues thoroughly addressed through the postcolonial feminist concept of transformation. This article critically examines contemporary research on climate and gender, and the extent to which feminist transformative concerns are addressed, thereby challenging systems and promoting power structures that recognize or benefit all segments of society. The article adopts an analytical strategy which combines two parallel instances of critical reflection on climate research, specifically, a systematic literature review of climate and gender studies in the Canadian Arctic, and the results of a round-table workshop of international climate experts and researchers on the state of climate change, adaptation and gender research in the Arctic. The article explores the results of these analyses and distinguishes those strategies that represent a continuation of status-quo power relations and climate adaptation processes from those that account for current economic and socio-political factors.

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)0.022
metaresearch head score (Gemma)0.013
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: Other · Consensus signal: Other
Teacher disagreement score0.048
Threshold uncertainty score0.116

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.006
Science and technology studies0.0100.047
Scholarly communication0.0160.014
Open science0.0020.009
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.103
GPT teacher head0.308
Teacher spread0.206 · 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
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
Published2020
Admission routes1
Has abstractyes

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