The <i>Crying Clinic</i>: Increasing accessibility to Infant Mental Health services for immigrant parents at risk for peripartum depression
Bibliographic record
Abstract
Peripartum depression (PPD) is considered a major public health concern due to its profound impact on families, including infants. In this paper, we report on a pilot initiative designed to reduce barriers and stigma related to the use of traditional infant mental health services for immigrant parents deemed at high risk of PPD. The Crying Clinic (CC) is an innovative walk-in service offered in a culturally diverse Canadian community to support maternal well-being and healthy parent-infant relationships. The CC was designed to be a gateway to existing infant mental health services, through its emphasis on accessibility and cultural sensitivity. Support for concrete concerns, such as anxiety about normative infant behaviors like crying, is underscored in this approach to attract vulnerable families who would otherwise not access mental health support. A review of 44 users, utilization, plans for the use of additional services, and client evaluations suggests that the CC accomplished most of its goals. We conclude that gateway service models such as the CC have the potential to enhance traditional infant mental health programs by creatively addressing the challenge of engaging highly vulnerable parents from culturally diverse backgrounds.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".