COURAGEOUS CONVERSATIONS IN CHILD AND YOUTH CARE: NOTHING LOST IN THE TELLING
Bibliographic record
Abstract
<p>Following the tradition of Indigenous and Korean elders with whom I have had the great privilege to work and learn from, I would like to start by sharing my gratitude for the land that we are on. In this way, we ground ourselves spiritually, emotionally, and physically by acknowledging the presence of our ancestors (current and past) in everything we do.</p><p> </p><p>I am a child immigrant from South Korea so I want to acknowledge that this is not the Indigenous land of my ancestors. I would like to point out the privilege of being a visitor who can work, play, and raise my family on unceded traditional Coast and Strait Salish territories. Back in the early 1990s, the First Nations House of Learning was opened while I was a graduate student at the University of British Columbia. At that time, I understood that it was important to acknowledge traditional territories. What I used to believe was basic protocol in the presence of Indigenous people and during ceremonies has now been transformed to an embodied way of living that guides me in my daily practice.</p><p> </p>
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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 | 0.018 | 0.034 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.029 | 0.045 |
| Scholarly communication | 0.015 | 0.017 |
| Open science | 0.003 | 0.018 |
| Research integrity | 0.006 | 0.013 |
| Insufficient payload (model declined to judge) | 0.006 | 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".