The Myth of Universal Sensitive Responsiveness: Comment on Mesman et al. (2017)
Bibliographic record
Abstract
This article considers claims of Mesman et al. (2017) that sensitive responsiveness as defined by Ainsworth, while not uniformly expressed across cultural contexts, is universal. Evidence presented demonstrates that none of the components of sensitive responsiveness (i.e., which partner takes the lead, whose point of view is primary, and the turn-taking structure of interactions) or warmth are universal. Mesman and colleagues' proposal that sensitive responsiveness is "providing for infant needs" is critiqued. Constructs concerning caregiver quality must be embedded within a nexus of cultural logic, including caregiving practices, based on ecologically valid childrearing values and beliefs. Sensitive responsiveness, as defined by Mesman and attachment theorists, is not universal. Attachment theory and cultural or cross-cultural psychology are not built on common ground.
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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 | 0.014 | 0.067 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.016 |
| Scholarly communication | 0.007 | 0.012 |
| Open science | 0.008 | 0.006 |
| Research integrity | 0.073 | 0.101 |
| Insufficient payload (model declined to judge) | 0.006 | 0.006 |
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".