Risk Factors of Postnatal Depression Among Immigrants in Norway
Bibliographic record
Abstract
Migration is not a new phenomenon, it has become an integral and inevitable part of global and economic development. Better communication and easier and faster transport system increases both voluntary and forced migration. The United States, Canada, and Australia were built on migration, and most European countries were saved by being able to send millions of people to other places when confronted with massive agricultural, political, or economic crises. Illness and death rates associated with migration are exacerbated by a lack of policies needed to make migration a healthy and socially productive process. Migrants are typically poor people moving from poor economic environments, they carry with them the health profiles that result from poverty. Migrants can also be healthy people with initiatives and economy to migrate. Migration, even under the best of conditions, involves a series of events that can be highly traumatizing and that can place migrants at risk. From a public health point of view, migration has serious ramifications for the people that move, the family they leave behind, and the communities that host the newcomers. Migration means breaking with family, friends, and established social networks, departing from traditional routines, value system, feeling of isolation, and these all are often detrimental to both mental health and social integration (Carballo M 2001).
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 teacher head, 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".