Bibliographic record
Abstract
This study aimed at clarifying the Green Economy financing roll in achieving sustainable development in the light of the of the goals by the UN program for environment which are represented by increasing the economic growth, and its impact on the global environmental system.To achieve the aim of the study, an analytical descriptive approach is used to acquaint with the Green Economy, measuring indexes as well as the challenges faced by countries and international organizations which have pioneer experiences in the field, to recognize the Green Economy impact on the sustainable development, a survey of 80 countries both developed and developing countries has been used depending on Global Green Economy Index (GGEI).In the light of the econometric analysis, previous studies and many successful experiences of some countries in applying the Green Economy, recommendations are raised to adopt the Green Economy system in some countries like Palestinian territories especially after disproving the Palestinian government fears of negative impact of Green Economy on the economic growth.Green economy should be fastened dialectically with the process of economic growth, job creation, and poverty reduction which are the dialectical relations of different that are economically, socially and environmentally dimensions, and are reflected in the following major question:Can a green economy become a new motive for economic growth?
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".