Bibliographic record
Abstract
In the development of cost-effective and transformational solar energy solutions,International Solar Alliance (ISA) is the action-oriented and mobilized efforts among various countries.ISA is a member-driven and collaborative platform and there are more than 120 countries working under ISA Framework Agreement.India is one of the leading country and has been reelected for ISA. The activity of the ISA is based on the four priory such as Analytics & Advocacy, Capacity Building, Programmatic Support and Readiness & enabling activities.The governance structure of the ISA is followed by ISA Assembly as an apex decision-making body, Steering Committee for strategic guidance, Secretariat as administrative arm and Head of ISA headed by the Director General.Due to immense demand to create and implement solar energy, ISA is initiated with One Sun, One World, One Grid (OSOWOG) programme. Now a days, ISA has various challenges like funding, policy coordination, limited participation and implementation. In this regards India has launched the scheme named as Indian Technical and Economic Cooperation (ITEC). For its proper implementation to get fruitful results on the ground,the administration will play vital role.
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 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 | 0.003 | 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 | 0.004 | 0.003 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".