The role of climate change anxiety in shaping childrearing intentions among people living in British Columbia
Bibliographic record
Abstract
Introduction: Climate change concerns have emerged as a factor in shaping childrearing intentions. Given extreme weather events, climate change-related anxiety has increased drastically in the region of British Columbia (BC), Canada. This study explored how worry about an increasingly uncertain future may be associated with people's childrearing intentions in BC. Methods: = 441) to examine the association between climate change anxiety [measured using the Climate Change Anxiety Scale (CCAS)] and childrearing intentions. We controlled for covariates, including socio-demographic characteristics and generalized distress. A mediation analysis also tested whether political orientation mediates the primary relationship. Results: Participants who were undecided about having children (aOR = 1.58, 95% CI = 1.10-2.26) and those who planned not to have children (aOR = 1.64, 95% CI = 1.13-2.37) had higher CCAS scores compared to those who planned to have children. After controlling for covariates, climate change anxiety was still associated with childrearing intentions. Our mediation model indicated that political orientation scores partially mediate the relationship between climate anxiety and childrearing intentions. Discussion: Decision-makers should consider the impacts of climate anxiety and childrearing intentions on population and demographic shifts while supporting opportunities to reduce climate anxiety. Future research should consider the factors that influence and contribute to climate anxiety and climate-related distress, and their impact on childrearing intentions.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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".