The discrepancy between sensitivity beliefs and sensitive parenting behaviors of ethnic majority and ethnic minority mothers.
Bibliographic record
Abstract
The aim of this study was to test the relation between sensitivity beliefs and sensitive behaviors in Dutch ethnic majority and Turkish ethnic minority mothers. Sixty mothers, 30 in the Dutch and 30 in the Turkish group, with a child between the ages of 2 and 5 years participated. Sensitivity belief scores were derived by correlating the Maternal Behaviour Q-Sort (Pederson, Moran, & Bento, 1999), the expertderived profile of the highly sensitive mother, with mothers' beliefs about the ideal mother. For observed sensitive behaviors, mothers and children were observed in a free play situation with the Emotional Availability Scales (Biringen, 2008). Dutch mothers scored higher on sensitivity beliefs and sensitive behaviors than Turkish mothers, and this relation between ethnicity and sensitivity (beliefs and behaviors) was not mediated by socioeconomic status (SES). Sensitivity beliefs were not related to sensitive behaviors in either group, and ethnicity and SES did not moderate this association. Further investigation of the relation between sensitivity beliefs and sensitive behaviors could inform interventions on how to translate improved parenting beliefs into improvements in parenting practices.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".