Working model of the child interview : a cross-cultural examination of attachment representations
Bibliographic record
Abstract
This study examined ethno-cultural influences on attachment representations by using a Grounded Theory analysis of the Working Model of the Child Interview (WMCI). Six participant interviews were transcribed and coded. Four main themes related to caregivers and their children emerged from this qualitative analysis: emotion regulation, stress response, caregiver roles and personality/relationship descriptors. Results indicated that there are both universal and ethno-cultural variations related to different components of attachment representations. Attachment story telling, caregiver language and parenting styles reflected variations in cultural values and beliefs of independent and interdependent cultures. Emotion regulation, stress response and caregiver roles were more reflective of universal attachment. Recommendations for further inquiry into the ethno-cultural influences on attachment representations are discussed. Clinical implications suggest that ethno-cultural context must be acknowledged when interpreting WMCI interviews with non-dominant interviewee backgrounds. As well, evidence is provided to support developing a culturally sensitive system for interpreting WMCI interviews.
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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 | 0.030 | 0.039 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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".