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Record W4378083016 · doi:10.22215/cjcr.v9i1.3900

Contestation and Perseverance in a time of Competing Crises: An Intersectional Analysis of Young Women and Girls’ Climate Activism During COVID-19

2022· article· en· W4378083016 on OpenAlex
Daniella Bendo, Christine Goodwin-De Faria, Dustin Ciufo

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian Journal of Children s Rights / Revue canadienne des droits des enfants · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Education and Societal Dynamics
Canadian institutionsTrent UniversityThe King's University
Fundersnot available
KeywordsPandemicPoliticsCoronavirus disease 2019 (COVID-19)Gender studiesCitizen journalismIntersectionalityPolitical scienceSociologyPolitical activismLaw

Abstract

fetched live from OpenAlex

Risks associated with the COVID-19 pandemic disproportionately impact young people already occupying challenging circumstances, including young women and girls experiencing gender discrimination, exploitation and economic exclusion. Nevertheless, young women and girls are among the most active in shaping local/global responses. Through an intersectional approach that critically explores child and youth civil and political rights, this paper analyzes climate change activism led by young women and girls during COVID-19, as well as the intersectional complexities that impact the activism that they engage in and carry out. We argue that despite the negative impacts of the pandemic, young women and girls have opened new participatory spaces to positively shape our environment, while also navigating and defying gendered barriers, both in the present and for future generations.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.647
Threshold uncertainty score0.830

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.013
GPT teacher head0.264
Teacher spread0.250 · 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