MacNevin, Rebecca Teacher perceptions 1 Running Head: TEACHER PERCEPTIONS OF CHILDREN WITH HEADAHCE PAIN Teacher perceptions of children with recurrent headache pain
Bibliographic record
Abstract
Teachers ’ understanding of and response to students with recurrent pain may affect academic and pain related outcomes. This research examines the effect of communication from a medical professional on teacher perceptions of a student experiencing recurrent headache pain. Participants were 106 teachers (88 women and 18 men) from elementary, middle, and high schools in the Halifax Regional School Board and the Chignecto-Central Regional School Board [mean teaching experience = 11.75 years (SD = 8.39); mean grade level taught = 6.21 (SD = 3.41)]. Participants completed an online survey in which they were presented with a vignette describing a hypothetical student with headache pain. Fifty-five teachers were randomly assigned to read a letter from a hypothetical medical professional detailing the symptoms and effects of recurrent headache pain, whereas 51 teachers were randomly assigned to a control condition in which they were provided with basic information about the IWK Health Centre. Participants rated multiple dimensions of the student’s pain and provided open-ended responses regarding their current knowledge of pain, as well as areas in which they would
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".