School Counselors’ Impact on School-Level Academic Outcomes: Caseload and Use of Time
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
Using the High School Longitudinal Study of 2009, we investigated school counselors’ caseloads, how they spent their time, and the impact of those factors on schools’ academic outcomes. Results showed that approximately 85% of the school counselors had a caseload of 455 or fewer students, with roughly one quarter reporting caseloads equal to or less than 250, and that school counselors spent more of their time on college, scheduling, and personal/social/academic/career development. We also found that how school counselors spent their time was predictive of ninth-grade retention rates, the percentage of students who enrolled in Advanced Placement (AP) courses, and the percentage of students who enrolled in 4-year universities. We provide discussion and implications for school counselors.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
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