Local Patterns of National Household Survey Non-Response in Canadian Cities
Bibliographic record
Abstract
Statistics Canada and the Canadian government invoked a dramatic change in the collection of detailed demographic and other data for the Census year 2011. Despite reverting in 2016 to the traditional “long form” census format, the National Household Survey (NHS) of 2011 represents an important and meaningful opportunity for study. Furthermore, with a 10-year gap between instances of the more reliable “long form” survey format, users of detailed census data products face challenges if interested in demographic, economic, social, and other changes that happened between 2006 and 2016 or trends in such data over a period that includes the 2011 NHS. Here we examine patterns of non-response, using the variable Global Non-Response (GNR) in several Canadian cities using dissemination areas (DA) as the unit of analysis. We will also show patterns of similarity and dissimilarity with GNR and other NHS variables (social, demographic, ethnic, housing, etc.).
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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 | 0.006 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.017 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".