Measuring negative emotional responses to climate change among young people in survey research: a systematic review protocol
Bibliographic record
Abstract
INTRODUCTION: Many young people report experiencing negative emotional responses to their awareness of climate change and the threats it poses to their future. With that, an increasing number of survey instruments have been developed to examine young people's negative emotional responses to their awareness of climate change. This report describes a protocol for a systematic review that aims to identify, synthesise and critically appraise how negative emotional responses to climate change among young people have been measured in survey research. The research questions addressed in this review are: (1) How has negative emotional responses to climate change been defined and measured among young people? (2) How do survey instruments measuring young people's negative emotional responses to climate change vary in terms of reliability and validity? (3) What factors are associated with negative emotional responses to climate change among young people? METHODS AND ANALYSIS: Seven academic databases (CINAHL, ERIC, MEDLINE, PsycINFO, Web of Science, Scopus, and Environment Complete) will be searched to retrieve studies published between 1 January 2006 and 31 March 2022 and published in English. Studies including survey instruments that measure negative emotional responses among young people (aged 10-24 years) will be eligible for inclusion. Targeted journals will be hand-searched. This review will follow Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 guidelines for systematic reviews. The methodological quality, in terms of reliability and validity, of the included studies will be assessed using the Consensus-based Standards for the Selection of Health Measurement Instruments (COSMIN) checklist for risk of bias of patient-reported outcome measures. To rate the quality of the instruments, we will use a modified Grading of Recommendations, Assessment, Development and Evaluations technique defined by the COSMIN guidelines. ETHICS AND DISSEMINATION: Ethical approval is not applicable for this study. We will disseminate the findings through publication in peer-reviewed journals and presentations. PROSPERO REGISTRATION NUMBER: CRD42022295733.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.132 | 0.121 |
| Meta-epidemiology (narrow) | 0.006 | 0.007 |
| Meta-epidemiology (broad) | 0.013 | 0.012 |
| Bibliometrics | 0.018 | 0.015 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.008 | 0.010 |
| Open science | 0.006 | 0.006 |
| Research integrity | 0.009 | 0.007 |
| Insufficient payload (model declined to judge) | 0.079 | 0.016 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".