Understanding sensitivity: lessons learned from the legacy of Mary Ainsworth
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
On the basis of extensive home observations, Ainsworth proposed that a mother's sensitivity to her infant's signals is the primary determinant of attachment security. Although subsequent research has found a relationship between sensitivity and attachment security, the effect sizes are much smaller than those reported by Ainsworth. In addition to the amount of observation time that might account for the effect size difference, we consider Ainsworth's focus on understanding the organizational structure of relationships. We coded 30 minute video records of interactions between 64 mother-infant dyads from semi-structured home observations conducted at 10 months of age. Coding consisted of writing a narrative summary of the interactions, annotating a completion of Ainsworth's rating scales of acceptance, accessibility, cooperation and sensitivity and then describing the mother's behavior using the Maternal Behaviour Q-set. Sensitivity scores derived from the Q-sort descriptions were robustly related (r = .65) to secure-insecure classifications in the Strange Situation conducted at 13 months. We reflect on the process of assessing Ainsworth's construct of sensitivity.
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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 | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it