Evaluating Caregiver Sensitivity to Infants: Measures Matter
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Bibliographic record
Abstract
The significance of caregiver sensitivity for child development has been debated among scholars, not least due to sensitivity's inconsistent predictive value over time and across contexts. A lack of uniformity in the definition of sensitivity contributes to this debate, but shortfalls of intertool concordance and construct validity in the instruments used to assess sensitivity may also be at issue. This study examines correspondences among four established standardized measures of caregiver sensitivity in independent classifications of the same sample of mothers of infants. Fifty European American mother–infant dyads of diverse SES were independently assessed with three observational caregiver sensitivity measures: the Emotional Availability Scales ( EAS ; Biringen, 2008, Emotional availability ( EA ) scales manual ( 4th ed .) : Part 1. Infancy/early childhood version ( child aged 0–5 years ). Colorado State University. Unpublished manuscript), the Parent Child Interaction—Nursing Child Assessment Satellite Training Feeding Scale ( PCI ‐ NCAFS ; Oxford & Findlay, NCAST caregiver/parent‐child interaction feeding manual, Seattle, WA: NCAST Programs, University of Washington, School of Nursing, 2015), and the Maternal Behavior Q‐Sort ( MBQS ; Moran, Pederson, & Bento, 2009, Maternal Behavior Q‐Sort ( MBQS ) –Overview, available materials and support . University of Western Ontario. Unpublished). Ratings were juxtaposed with classifications of the same sample based on the original Ainsworth Maternal Sensitivity Scales ( AMSS ; Ainsworth, 1969, Power , 6, 1379). The EAS , NCAFS , and MBQS are related to the AMSS , but large proportions of variance were unshared. Researchers and clinicians should be cautious when assuming that popular observational assessment instruments, commonly believed to measure a generic construct of caregiver sensitivity, are interchangeable, as these measures may evaluate different features of sensitivity to infants.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.010 |
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