RESPONDING TO OUR CURRENT TIMES IN CHILD AND YOUTH CARE
Bibliographic record
Abstract
The 21st century is marked with a variety of unique and intersecting issues, opportunities, and political realities. Child and Youth Care (CYC) theory and practice continues to take place within and in response to a range of relationships, discourses, and institutions. Our relationship with the physical world is now understood with a sense of urgency as never before. Globalized economic systems are impacting how we organize on institutional and even interpersonal levels. Technologically mediated worlds are altering who we are, how we engage with each other, and how we envision and enact futures together. These pressing issues are often cast to the margins of CYC discussions, but are increasingly being experienced by many as central to the work we do and the lives we live. Students, practitioners, and researchers had the opportunity to connect with each other, and with youth in the community and colleagues from across Canada and around the world, at the School of Child and Youth Care at the University of Victoria in British Columbia, Canada to discuss how to respond to our current times. CYC in Action IV: Responding to Our Current Times (May 1 to 3, 2014) was a lively conference that aimed to put Child and Youth Care practice into context, considering not only what we do and how we do it, but also the political, cultural, and economic conditions at play in our work.
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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 | 0.031 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.041 | 0.030 |
| Scholarly communication | 0.018 | 0.015 |
| Open science | 0.004 | 0.032 |
| Research integrity | 0.014 | 0.024 |
| Insufficient payload (model declined to judge) | 0.009 | 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".