An Investigation of Factors Determining Environmental Friendliness: Focus on Renewable Energy
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.
Bibliographic record
Abstract
The environment of Ontario is changing and the Ontario government has reacted by introducing the green energy act. This act encourages the investment in green energy alternatives in Ontario. People of Ontario are facing rising energy costs and increased taxes. Therefore this study wants to examine the willingness of Ontarians to be environmentally friendly, focusing on the implementation of renewable energy. Using the theory of planned behavior, data was collected. Using confirmatory factor analysis and structural equation modeling, data was analyzed. All hypotheses were supported. This can be interpreted that many factors determine one’s willingness to engage in environmentally friendly behavior. Descriptive statistics are examined to see significant relationships and it was found that that gender plays a large significant role on intentions, while income plays a small significant role. All other demographic variables are not significant, including; location, education, age and marital status.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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 it