National Estimates of Retention, Migration, and Attrition
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
This study was designed to estimate the magnitude of retention, migration, and attrition of music teachers; the transfer destinations of those who migrated; the career path status of those who left; and the likelihood that former music teachers would return to teaching. Data, which were analyzed for music ( n = 881) and non-music teachers ( n = 17,376), came from the 1988—1989, 1991—1992, 1993—1994, and 2000—2001 administrations of the National Center for Education Statistics's Teacher Follow-up Survey, a national survey designed to compile comprehensive data concerning changes in the teacher labor force. Results indicated that between 1988 and 2001, 84% of music teachers were retained by schools, 10% migrated to different schools, and 6% left the profession every year, in rates similar to non-music teachers. Transferring music teachers migrated primarily to different school districts in the same state. One year after leaving the profession, former teachers were attending college (28%), retired (23%), out of teaching (21%), in education but not as a teacher (14%), or working as a homemaker (12%). Approximately one third of former music teachers planned to return to teaching within 5 years, and an additional quarter planned to return after 5 or more years.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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