Canadian Internet Use Survey, 2010 [Canada]: Persons file
Bibliographic record
Abstract
For 2010, the Canadian Internet Use Survey (CIUS) was redesigned to better measure the type and speed of household Internet connections. It is a hybrid survey that measures both household Internet access and the individual online behaviors of a selected household member. It replaces the previous CIUS, a biennial survey conducted in 2005, 2007 and 2009. As the new survey has two distinct conponents - household and individual - with revised and streamlined question, it is not appropriate to directly compare results from these two surveys in most cases. The CIUS measures the availability, type, and speed of home Internet connections. It then selects a member from the household to measure the extent and scope of online behavior including the location, frequency and intensity of use, specific uses including the purchase of products and services (electronic commerce), and other related issues such as online security practices. This content is supplemented by individual and household characteristics (e.g., age, income, family type) and some geographical detail (e.g. province and Census Metropolitan Area).
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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.008 | 0.029 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.035 | 0.024 |
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".