The Negative Effects of Student Mobility: Mobility as a Predictor, Mobility as a Mediator
Bibliographic record
Abstract
Policy discussions on how to improve educational outcomes have traditionally focused on schools and teachers. While schools and teachers have measurable effects on educational outcomes, reforms aimed at only improving schools and teachers have failed to eliminate persistent achievement gaps. Thus, some scholars have argued for a broader, bolder approach to education. These scholars have investigated the effect of nonschool factors, such as health and early childhood care, on educational outcomes. The present study is intended to add to this growing body of literature. Two analyses that were conducted to examine the effect of student mobility on achievement are discussed. The first uses a multi-level analysis to investigate the relationship between student mobility and reading achievement of students. The second analysis uses aggregate school-level data to investigate if student mobility mediates the relationship between a school's socioeconomic status and its academic achievement levels. The results suggest that student mobility is indeed a predictor of academic struggles—at the individual student level as well as the school level—and should be included in the increasing number of conversations aimed at changing social policies to improve student outcomes.
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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 | 0.001 | 0.007 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".