MétaCan
Menu
Back to cohort
Record W4414909161 · doi:10.1016/j.sftr.2025.101402

The influence of familial nudging on attitudes toward climate change and monetary contributions: An exploration of ease and difficulty with evidence from Japan, Canada, the USA, and Norway

2025· article· en· W4414909161 on OpenAlex

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSustainable Futures · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicClimate Change Communication and Perception
Canadian institutionsSaint Mary's University
FundersCentral Research Institute of Electric Power Industry
KeywordsClimate changeWillingness to payPerceptionRisk perceptionPublic opinionInvestment (military)Causality (physics)Extreme weatherWillingness to accept

Abstract

fetched live from OpenAlex

• Nudging grounded in Evolutionary Psychology was applied to promote carbon neutrality. • The effects were analyzed using >15,000 responses from four countries. • Moderating perceived risks of climate change was successful in most cases. • Only Canada, recently hit by wildfires, showed a positive effect in willingness to pay. Climate change countermeasures require monetary investment for implementation through regulations, often in the form of public taxes. Therefore, public opinion on climate change is an important factor in achieving carbon neutrality (CN). How public perception is formed, leading to motivation to fund measures for CN, needs to be identified. This study aimed to identify the causal structures of attitude change leading to financial investment through two surveys in multiple countries using nudging messages emphasizing familial support (familial nudging), which is effective in promoting pro-environmental attitudes. Study 1 (2023) examined how familial nudging moderates risk-averse attitudes toward climate change. Despite successful overall nudging effects, no increase in willingness to pay for CN was observed. Causality analysis showed that willingness to pay for CN was influenced by perceived risks to oneself and future generations. Based on these findings, Study 2 (2024) introduced modified familial nudging, emphasizing milder climate risks for the current generation, but more severe climate risks for future generations, such as wildfires. The new nudging message unexpectedly increased the perceived risks to the current generation, and no positive impact on willingness to pay was observed. The exception was Canada, as respondents showed non-negative responses and significant increases compared to the other messages. The Canadian wildfire in 2023 may have influenced the perceived necessity of CN countermeasures. These findings highlight the challenge of nudging perceived impacts on current and future generations, separately simultaneously. Meanwhile, recent natural disasters may effectively moderate the decreased financial motivation for CN, regardless of familial support.

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 score0.235
Threshold uncertainty score0.856

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 studies0.0010.000
Scholarly communication0.0000.001
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 head0.148
GPT teacher head0.380
Teacher spread0.233 · 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