Measuring Toyota Citizens' Eco-awareness: Is the City’s Eco-policy More Recognized?
Bibliographic record
Abstract
In 2009, Toyota City was selected as an environmental model city by the Japanese government. The city has been working on addressing environmental issues and raising citizens’ awareness of its eco-policy focusing on five relevant themes: transportation, forests, the urban center, industry, and public welfare and livelihood. In 2012, surveys were conducted in Toyota City to examine how much citizens recognized the eco-policy. The study showed that less than 40% of Toyota City citizens were aware of the fact that the city was designated as an environmental model city. Using the same research method as the 2012 study, a similar survey was conducted in 2014 to examine how the citizen’s awareness of the eco-policy had shifted. The findings show little sign of improvement in citizens’ eco-awareness: the recognition rate of most topics had dropped in the 2014 findings compared to those of 2012. This paper explores possible reasons for the results and makes suggestions for improving eco-awareness.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".