Exploring the prevention of Fetal Alcohol Spectrum Disorder in the Northwest Territories of Canada: Brightening our home fires
Bibliographic record
Abstract
Badry, D., & Felske, A. (2013). Exploring the prevention of Fetal Alcohol Spectrum Disorder in the Northwest Territories of Canada: Brightening our home fires. The International Journal Of Alcohol And Drug Research, 2(3), 7-15. doi:10.7895/ijadr.v2i3.125 (http://dx.doi.org/10.7895/ijadr.v2i3.125)Aims: The prevention of Fetal Alcohol Spectrum Disorder (FASD) in a Northern context from a woman’s health perspective was explored in the qualitative research study, Brightening Our Home Fires (BOHF). It is recognized that research on the prevention of FASD is a sensitive topic due to stigma associated with alcohol use during pregnancy. Women’s health and FASD prevention were identified as the focus of the research, as they are deeply intertwined topics.Design: The BOHF project was designed as a participation action research project that utilized Photovoice as a primary methodology to approach the topic of FASD prevention in the Northwest Territories (NT) from a women’s health lens.Setting: This research took place in Yellowknife, NT. Participants included both Dene and Inuit women.Participants: Eight women living in a homeless centre in Yellowknife, Northwest Territories.Measures: This was a qualitative research study that utilized Participatory Action Research (PAR) to explore women’s health in the North. Photovoice was the primary methodology. The analysis of this research focused on both image and text, and a depth analysis of text led to theme identification.Findings: Findings included the importance, to women participants, of housing, access to treatment resources for alcohol, and engagement with health-related resources, and the challenges they experience that are related to their histories of trauma.Conclusions: Engagement with women in the NT on FASD prevention was important in broadly identifying the linkages between trauma and alcohol use while respecting context and stigma around alcohol use and pregnancy.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".