The role played by a former federal government residential school in a first nation community’s alcohol abuse and impaired driving: Results of a talking circle
Bibliographic record
Abstract
OBJECTIVES: The study's objective was to better understand alcohol abuse and impaired driving behaviors in a First Nations community as it reflects systemic issues linked to historical, family and community experiences. STUDY DESIGN AND METHODS: Fifteen 18- to 29-year-old drivers participated in an exploratory eight-hour Talking Circle held according to traditional cultural practice. Four First Nations researchers, trained in Talking Circle protocol, and a Band Elder facilitated the data collection, data analysis according to emerging themes, and data verification. RESULTS: Federal government residential schools contribute to intergenerational effects which impact impaired driving in a northern First Nations community. Traditional parental role modeling has changed dramatically. Rather than guide children through a communally shared development process, many parents now expect their children to assume adult roles by expecting them to take care of their guardians when they drink excessive amounts of alcohol. Because a wall of silence exists between the young and old, many young people seek refuge with friends and peers, who subsequently influence them to abuse alcohol and engage in impaired driving. Many older Band members no longer serve as leaders for young people. Instead, they behave like peers and engage in activities that facilitate alcohol abuse and impaired driving. CONCLUSIONS: Historical institutions like federal government residential schools have contributed to systemic socio cultural problems which influence alcohol abuse and impaired driving. Hence there is a need for community-based intervention strategies that promote cultural healing. The healing journey can start with First Nations communities providing their people opportunities to share their stresses and traumas in supporting and nurturing environments.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| 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".