Survey of Household Spending, 2011 [Canada] [Excel]
Bibliographic record
Abstract
The Survey of Household Spending provides detailed information on household expenditures, dwelling characteristics, and ownership of household equipment. The Survey of Household Spending is carried out annually across Canada in the ten provinces. Data for the territories are available for 1998, 1999 and every second year thereafter. The 2011 SHS was conducted from January 2011 to December 2011 using a sample of 17,873 households in the 10 provinces (the territories were not included in the 2011 survey). Detailed spending information was collected, as well as limited information on dwelling characteristics and household equipment. The method of adjusting for incomplete diaries has been refined with the 2011 SHS. As well, the age of household members is now defined to be at the time of the interview rather than as of December 31st of the survey year. To ensure comparability of the data, the 2010 data have also been revised by incorporating these changes. The revised 2010 estimate of average household spending on all types of goods and services has increased by 1.3% when compared with the previously published 2010 estimate (April 2012). For current Survey of Household Spending data refer to Statistics Canada Access data here
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.016 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.038 | 0.012 |
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".