Clinical feasibility of quantifying the force-time characteristics of spinal mobilizations in the preschool-age pediatric population
Bibliographic record
Abstract
This study assessed the feasibility of using a fingertip force sensor to measure the force-time characteristics of spinal mobilizations performed by chiropractors on children aged five and under. Six chiropractors and 43 children participated. Recruitment was successful, and data collection was feasible despite some challenges related to children's cooperation. The sensor did not affect tactile feedback or increase treatment time. However, issues with calibration and visual placement were noted, and data loss occurred, especially during cervical mobilizations. These findings support the potential use of fingertip sensors in pediatric research while highlighting areas for methodological improvement. Cette étude a évalué la faisabilité d’utiliser un capteur de force au bout des doigts pour mesurer les caractéristiques force-temps des mobilisations vertébrales chez des enfants de cinq ans et moins. Six chiropraticiens et 43 enfants ont participé. Le recrutement a été réussi et la collecte de données globalement faisable, malgré quelques défis liés à la coopération des enfants. Le capteur n’a pas nui à la sensibilité tactile ni à la durée du traitement. Des problèmes de calibration et de positionnement ont toutefois été observés, ainsi qu’une perte de données, notamment lors des mobilisations cervicales. Ces résultats orientent l’amélioration des méthodes en recherche pédiatrique.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".