Bibliographic record
Abstract
The Honourable Landon Pearson touched my life and work in so many ways, beginning with a meeting in British Columbia (BC), when she was interested in expanding Shaking the Movers (STM) beyond Ottawa.Shortly thereafter, I learnt more about STM, over a cuppa tea in Ottawa.Her words that continue to echo in my work in many ways were: "Your job is to create a safe and welcoming space and get out of the way".For Landon this meant a space for children's voices to be heard, and their ideas brought forward to the those who could act on them.I now apply this ethos to much of my work, particularly in the context of voices that are often lost or marginalized -Indigenous, Black, Brown, those living with neurodiversity and more.Our first STM in BC deeply impacted many people -the undergraduate facilitators, the young people who participated, other adults, and myself.The STM theme that year was sexual exploitation.The facilitators created such a safe and empowering space that as the workshop progressed through the weekend, more young people came to be heard.We held these workshops at Simon Fraser University's Surrey Campus.One young participant, who had never been to SFU, proclaimed: "Today I belong here".These four words are a tribute to the Honourable Landon Pearson.A sense of belonging, dignity and worth is what she wanted for each and every child.As a further testimony to that inaugural STM BC workshop, the following year in preparation for Stop the Sexual Exploitation of Children and Youth Awareness Week in March, that same young woman phoned me and said that they had more to say.We got organizing straight away.Landon's simple yet powerful model of youth participation and voice has left an imprint in the life and work of many here in BC, child and adult.We are forever grateful and inspired.
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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 | 0.005 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.006 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.009 | 0.025 |
| Insufficient payload (model declined to judge) | 0.033 | 0.018 |
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".