Towards a Sustainable Campus: An Ecological Modernization Perspective
Bibliographic record
Abstract
Universiti Kebangsaan Malaysia is a signatory of the Tallores Declaration and as a role model, has to develop and maintain a sustainable campus. Political modernisation, a central tenet of Ecological Modernisation Theory, has transformed the traditional hierarchical mode of governance into a participatoryform. The focus of political modernisation is the government-industry linkage. The research here adopts a new variant of political modernisation by looking at the government-university linkage. This paper has a two-prong objective. The first objective is to test the applicability of political modernisation on the development of a sustainable campus. The second objective is to develop a quantitative methodology to test the linkages on the impact of the state’s environmental policy and reform on the development of a sustainable campus. The government-university linkage is operationalised via specific variables. Spearman’s correlation is used as ordinal data were obtained. A total of 60 respondents were selected via stratified sampling. The findings of this research show that the new variant of political modernisation in the form of government-university linkage has been proven quantitatively. Positive relationship exists between the state’s formulation of environmental policies cum laws and UKM’s formulation of environmental policy and the utilisation of science and technology. Likewise, the state’s implementation of environmental reform has a positive relationship with the campus environmental support system, the utilisation of science and technology and the creation or investment in environmental infrastructure by UKM. This also shows that the realm of environmental policy has moved into the implementation stage.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.011 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".