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Record W4401813165 · doi:10.1038/s44271-024-00130-4

Exploring children’s despair in the face of climate change

2024· article· en· W4401813165 on OpenAlex
Catherine Malboeuf‐Hurtubise, David Lefrançois, Marc–André Éthier, Jonathan Smith, Terra Léger‐Goodes, Catherine M. Herba

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCommunications Psychology · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Education and Sustainability
Canadian institutionsCentre Hospitalier Universitaire Sainte-JustineUniversité du Québec à MontréalUniversité de SherbrookeUniversité du Québec en OutaouaisQ & T ResearchUniversité de MontréalCentre Hospitalier Universitaire de SherbrookeBishop's University
FundersFonds de Recherche du Québec - SantéSocial Sciences and Humanities Research Council of CanadaGovernment of Canada
KeywordsPsychological interventionAnxietyFace (sociological concept)PsychologyClimate changeDevelopmental psychologySocial psychologySociologySocial sciencePsychiatryEcology

Abstract

fetched live from OpenAlex

Interventions targeting children’s eco-anxiety have focused on fostering hope, however this is disconnected from children’s need to explore and express despair regarding the climate crisis. Adults can help by acknowledging and discussing these emotions with children. Interventions targeting children’s eco-anxiety have focused on fostering hope, however this is disconnected from children’s need to explore and express despair regarding the climate crisis. Adults can help by acknowledging and discussing these emotions with children.

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)0.000
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 score0.257
Threshold uncertainty score0.370

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.163
GPT teacher head0.384
Teacher spread0.221 · 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