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Record W4399578335 · doi:10.1007/s10584-024-03757-8

“I start to doubt whether any of my actions will matter”: youth activists’ experiences and expressions of the emotions associated with climate change

2024· article· en· W4399578335 on OpenAlexaff
Melanie Zurba, Polina Baum-Talmor, Roberta L. Woodgate, David Busolo, Andrew Park, Erica Mendritzki, Lisa Binkley

Bibliographic record

VenueClimatic Change · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsUniversity of New BrunswickUniversity of ManitobaNSCAD UniversityUniversity of WinnipegDalhousie University
Fundersnot available
KeywordsGrounded theoryPhotovoiceClimate changeModalitiesAction (physics)PsychologySocial psychologyQualitative researchSociologySocial scienceEcology

Abstract

fetched live from OpenAlex

Abstract This study provides insights on the ways that youth express and process the emotions arising from their involvement in climate action. The specific objectives were to: (1) understand the ways youth come to know, conceptualize and reflect on climate change, (2) explore how youth’s emotions in response to climate change impacts their everyday lives; and (3) determine the modalities in which youth are expressing and processing such emotions. We used a grounded theory approach and the photovoice interview method to elicit participant’s views on climate-change-related emotions and interviews were analysed using qualitative data analysis software according to a grounded theory approach. The study resulted in identifying key themes, as well as supports for youth experiencing difficult emotions associated with climate change.

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)0.004
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0050.006
Scholarly communication0.0040.002
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.648
GPT teacher head0.567
Teacher spread0.081 · 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 designQualitative
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

Citations8
Published2024
Admission routes1
Has abstractyes

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