School Achievement and Backwardness Analysis Model at the Metropolitan Autonomous University—Cuajimalpa Unit
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
<p>This work stems from the need to develop a line of institutional policy recommendations to improve school performance and to reduce the backlog in the graduation of students in the Cuajimalpa Unit of the Metropolitan Autonomous University.</p><p>The school backlog of students of this university is one of the main institutional concerns, due to the existence of “bottlenecks” in the different careers educational process, preventing the completion of studies at the time established by the educational programs.</p><p>At the same time, the improvement in the students’ academic achievement, represented by the increase of the school averages, is an approximation of knowledge assimilation as a substantive part of the University’s activity. Thus, the study analyzes the determinants on which the University can exercise institutional policies to improve student’s achievement rates and lower rates of backwardness in this university student’s graduation.</p>
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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 | 0.001 | 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) | 0.000 | 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