Determinants of environmentally responsible behaviours for greenhouse gas reduction
Bibliographic record
Abstract
Abstract Canadian household consumption and driving behaviours are responsible for a significant portion of greenhouse gas (GHG) emissions produced across Canada. This paper examines and characterizes two sets of consumer behaviours, indoor GHG reduction behaviours and automobile GHG emissions, using data from a 2006 telephone survey of a representative random sample of 1002 Canadian households with cars. Two statistical models are used to analyse the impact of four groups of variables (environmental attitudes, policy opinions, automobile‐related indices and socio‐demographics) on GHG reduction at the household level. Results were obtained using ordered probit and Ordinary Least Squares regressions. Indoor GHG reduction behaviours were not correlated with automobile GHG emissions. Dominant factors increasing consumer GHG reduction behaviours both indoors and on the road were sense of personal responsibility and previous environmental activism. Canadians who least actively participate in GHG reduction activities were more likely to be living in the Prairie provinces and to be male.
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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 | 0.000 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".