Families on the Move: Families in Canada 2019 -Satellite Event Report
Bibliographic record
Abstract
On March 27-28, Memorial University participated in the pan-Canadian Vanier Institute of the Family’s Families in Canada 2019 Conference by co-hosting a satellite conference called Families on the Move. This unique and inclusive pan-Canadian event brought together diverse leaders from across Canada who study, serve and support families for two days of research, knowledge-sharing and engaging conversation focused on the conference theme Memorial’s ‘Families on the Move Satellite Conference’ engaged individuals with lived experiences of mobility-related challenges as mobile workers, immigrants, Indigenous Peoples, military personnel, veterans, public safety personnel, survivors of domestic violence, and people with disabilities. It also engaged those who study, serve and support these groups and their families. Over two days, participants from government, academia, non-governmental organizations (NGOs), and the community at large came together to discuss what mobility meant to them; how it shaped their access to or delivery of government services, how it informed their research practices or collaborations, and how it created opportunities and challenges for their families.
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 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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.042 | 0.003 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.020 | 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".