The Eastern Door Center: re-balancing the wheel–a Two-Eyed Seeing approach to FASD and other disorders related to transgenerational adversity
Bibliographic record
Abstract
In 2015, the Canadian Truth and Reconciliation Commission (TRC) called for immediate action to address the lack of access to health services for Fetal Alcohol Spectrum Disorder (FASD) in Indigenous communities. They called for the provision of culturally safe, community-based, FASD diagnostic, intervention and prevention services. FASD is a neurodevelopmental condition that can affect all aspects of functioning. The term refers to a spectrum of conditions occurring as a result of prenatal alcohol exposure (PAE) and associated risk factors. PAE can affect both physical and mental health leading to problems with learning, memory, attention, language, social behavior, executive functioning, sleep, and affect regulation. According to Elders in Mi'kmaq First Nations (FN) communities, FASD is a condition that is rooted in transgenerational trauma and the loss of relationship to their land, their language and the traditional community culture. The Elsipogtog Eastern Door (ED) Center opened in 2006 to provide culturally informed diagnosis, intervention and prevention for FASD and related conditions. The ED was the first FASD diagnostic team in Atlantic Canada and it served as a demonstration model for the New Brunswick FASD Center of Excellence as well as for Indigenous communities regionally and nationally. In this article, we outline the history and evolution of the Eastern Door Center and its programs and describe some of the successes of this model as well as some of its limitations in practice.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.013 | 0.013 |
| Scholarly communication | 0.006 | 0.009 |
| Open science | 0.003 | 0.014 |
| Research integrity | 0.005 | 0.015 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".