Does GATS’ Influence on Private University Sector’s Growth Ensure ESD or Develop City ‘Sustainability Crisis’—Policy Framework to Respond COP21
Bibliographic record
Abstract
The conventions and ratifications made by the United Nations (UN) have a long history. They were well respected for their ability to unite the world’s countries on some issues. The paradigm transformation of UN ratifications to combine both business models and social justice has received both positive and negative responses. While adherents argue that such a transformation is fundamental to boost economic development, opponents assert that the ‘so-called paradigm transformation’ has benefited the West by victimising the East, which has essentially complicated the global ‘sustainability crisis’. This also hinders executing the ESD (education for sustainable development) concept, especially in developing countries. The concept of ‘sustainable development’ is now the main agenda item of UN conventions. COP21 (United Nations Climate Change Conference in 2015, otherwise known as the 21st Conference of the Parties), is an example of the UN’s seriousness in addressing the ‘global sustainability crisis’. GATT and GATS are the international policies that are, respectively, the ‘causer’ and ‘developer’ of the private university sector in emerging market economies. Critics claim that this expanding sector generates an urban sustainability crisis. This study examined the effect of private universities’ expansion on urban sustainability, using a qualitative method for assessing primary and secondary data. The indices for night light intensity, heat and greenery served as the essential parameters to calculate the sustainability crisis. Results indicate that while the greenery index has fallen significantly, night light and heat indices have unexpectedly increased, which correlate with the development and expansion of the private university sector. To respond to COP21, a ‘carbon neutrality’ policy framework for the sector is suggested in an effort to control the sustainability crisis.
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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 | 0.009 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".