An Analysis of the Bibliometrics of the Mexican Institute in Ophthalmology: A Case Study of an Emerging Research-Based Educational Health Institute
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
The Instituto Mexicano de Oftalmología (IMO), a non-profit eye institute, has experienced significant growth. In this case study, we analyze IMO-affiliated publications (2012-2023) and introduce the Degree of Involvement in paper authorship index (DI-index). Journal metrics were extracted from InCites Journal Citation Reports and Scimago. IMO research output grew from one publication (2012) to 31 (2023), peaking at 45 (2018). The average impact factor rose from 0.2 (2012) to 5.2 (2022). The DI-index totaled 106.6 across 227 articles. Bibliometric analysis provides valuable insights for emerging institutions, and the DI-index provides a novel approach to evaluating authorship involvement.
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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.007 | 0.031 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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