2-1-1 Toronto: Lessons Learnt About Newcomers’ Access to Health Information
Bibliographic record
Abstract
This study examines the importance of access to information as an enabler of access to health care by newcomers to Canada. Specifically, we focus on the role played by the 2-1-1 Toronto service through a 2005 phone survey and face-to-face qualitative interviews with 2-1-1 Toronto callers in 2006-2007.Cette étude examine l’importance de l’accès à l’information comme moteur de l’accès aux soins de santé par les nouveaux arrivants au Canada. Plus précisément, nous nous attardons sur le rôle que joue le service 2-1-1 Toronto au moyen d’entrevues téléphoniques effectuées en 2005 et d’entrevues qualitatives en personne avec des appelants du service 2-1-1 Toronto en 2006-2007.
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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 | 0.007 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.010 | 0.007 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".