ERIC ED560193: College Bound & Determined
Bibliographic record
Abstract
Intercultural Development Research Association's latest high school attrition study shows that Texas high schools lose one out of every four students before they graduate. Since 1986, schools in Texas have lost a total of more than 3.3 million students. Despite small improvements over the last several years, at the current pace, universal high school education is almost a quarter century away. By then, Texas is projected to lose another 3 million students who will leave schools without a diploma and without even minimal preparation to compete in a rapidly changing workforce. This publication seeks to make the case that all students deserve an equitable, excellent, and college bound education by using the Quality Schools Action Framework to tell the story of how one school district has brought that ideal closer to reality for all students. Under the leadership of Superintendent Dr. Daniel King, Pharr-San Juan-Alamo Independent School District (PSJA) has transformed itself from a district with low achievement and low expectations into a district where all students are expected to graduate ready to start college. This publication documents some of what takes place at PSJA so that communities and schools across the country will advocate for meaningful change in their districts so that we may stem back the tide that threatens to dim our future.
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 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 | 0.000 | 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 | 0.000 | 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) | 0.399 | 0.016 |
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; both teacher heads agree on what is shown here.
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".