Bibliographic record
Abstract
In my video, I (James Schlonies) tell the story of how I struggled when I was younger. I went through all mental health services available in my town, but sometimes I just felt worse after. When I was in grade 7, I started going to M’Wikwedong. My family and I received help from M’Wikwedong to cope with what I was going through. Drumming helped me learn to speak up for myself. Now I am a member of the Board of Directors at M’Wikwedong and I am an advocate for other youth in my area. This video was created through a research project entitled: Promoting healthy urban environments for young Indigenous peoples: The case of M'Wikwedong Native Cultural Resource Centre. The research team was formed by the M’Wikwedong Youth Group (Ryerson King, Kaitrina Harrisson, Steven Schlonies, Nikita Jones, and James Schlonies) and the Centre for Environmental Health Equity at Queen’s University (Carlos Sanchez-Pimienta and Jeffrey Masuda). This video displays a previous iteration of the name of this project. M'Wikwedong recently changed its name to "M'Wikwedong Indigenous Friendship Centre."
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 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".