On Arrival and Belonging — with Sobhana Jaya-Madhavan
Bibliographic record
Abstract
Born in Malaysia and raised in India, Sobhana has an undergraduate degree in Philosophy and a postgraduate degree in Social Work. Sobhana immigrated to Canada in 1995 and completed her doctoral coursework and candidacy exams  in Child and Youth Care from the University of Victoria (UVic) and also taught the undergraduate Child Welfare Specialization Course at UVic. Sobhana worked with the Government of British Columbia serving in various front line and senior management positions for almost two decades. Sobhana worked with federal and provincial governments to address complex social issues, including poverty, child abuse and domestic violence. In 2017, Sobhana joined Simon Fraser University (SFU) as Associate Vice President, External Relations. Sobhana engages with all levels of government and diverse organizations and communities to strengthen relationships and partnerships. In addition, Sobhana is very involved with EDI and reconciliation initiatives at SFU. In 2019, Sobhana was the recipient of the Women Economic Forum’s ‘Woman of the Decade Award’ for championing education. Sobhana is passionate about the pursuit of peace in all spheres of life.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".