Canadian Travel Survey, 2000: Census Metropolitan Area Level Data
Bibliographic record
Abstract
The Canadian Travel Survey (CTS) is a major source of data used to measure the size and status of Canada's tourism industry. It was developed to measure the volume, characteristics and economic impact of domestic travel. It gathers data on more than 30 variables, including socio-economic profiles, trip characteristics, and expenditures. The CTS is conducted by Statistics Canada, as a supplement of the Labour Force Survey (LFS: Survey Number 3701), with the cooperation and support of the Canadian Tourism Commission (CTC) and ten provincial governments. The main users of the survey data are the CTC, the provinces, and tourism boards. Other users include the media, businesses, consultants and researchers. These files contain records which relate to the activities of Canadians travelling in Canada; origin and destination; volumes; nights away from home; length of stay; type of transportation; purpose of trip; accommodation used; expenditures by categories; and demographic characteristics. Included are the complete Canada microdata file on person-trips, household trips, person-nights, person and reallocated expenditures.
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 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.031 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.026 | 0.018 |
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".