Bibliometric analysis of innovation in Mexico
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract This article aims to use bibliometric techniques to analyze the production of scientific documents related to innovation research carried out in the territory of Mexico. The study focuses on a period of thirty-eight years, from 1980 to 2019. Knowing the direction that innovation takes in Mexico during this period is what motivates its implementation. The main source of information for this study is the "Web of Science" database. The results show an exponential increase in publications starting in 2010, with the participation of Spanish- or English-speaking authors; more research on innovation in the areas of health; the adoption of a broader concept of innovation; and language as a limiting factor for collaborations. Key Words: Bibliometrics, Innovation, Mexico, Web of Science. JEL codes: O32, Y10, Z00 Received: 21/07/2020. Accepted: 12/04/2021. Published: 01/06/2021.
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.091 | 0.354 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it