Solar energy analysis in use and implementation in Mexico: a review
Bibliographic record
Abstract
Purpose The purpose of this paper is to analyse how solar energy is harnessed and implemented in Mexico. This paper presents a diachronic analysis of the divergent literature presented into the subject with the themes being divided substantially. Design/methodology/approach This paper used at least five methods in the identification of the studies with the first being the use of the SCImago Institution Ranking followed by the use of Scopus for journal evaluation. SCImago was used to determine the efficiency of the journals with the Newcastle Ottawa scale allowing for the evaluation of the different case study articles presented on Mexico. The fourth tool was a 21-item STROBE checklist after which the Web of Science was used to determine the authenticity levels of the identified articles. Findings The implementation of solar energy technologies is still novel in Mexico with private and public entities working together towards building sustainable options. In addition, it cites the divergent merits that might stem from the use of solar energy technologies. Originality/value A myriad of articles has been presented concerning solar energy in Mexico, but no attempt has been made to synthesize the evidence and arguments made in this significant body of research. The subsequent review is original with its findings being valuable for current and future research.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".