Travel Survey of Residents of Canada, 2007: Person File, March
Bibliographic record
Abstract
<p>The Travel Survey of Residents of Canada (TSRC) is a major source of data used to measure the size and status of Canada's tourism industry. It was developed to mesure the volume, the characteristics and the economic impact of domestic travel. Since the beginning of 2005 this survey replaces the Canada Travel Survey (CTS).</p> <p>It measures the size of domestic travel in Canada from the demand side. The objectives of the survey are to provide information about the volume of trips and expenditures for Canadian residents by trip origin, destination, duration, type of accommodation used, trip reason, mode of travel, etc.; to provide information on travel incidence and to provide the socio-demographic profile of travellers and non-travellers. Estimates allow quarterly analysis at the national, provincial and tourism region level (with varying degrees of precision) on:</p> <ul> <li>total volume of same-day and overnight trips taken by the residents of Canada with destinations in Canada</li> <li>same-day and overnight visits in Canada</li> <li>main purpose of the trip/key activities on trip</li> <li>spending on same-day and overnight trips taken in Canada by Canadian residents in total and by category of expenditure</li> <li>modes of transportation (main/other) used on the trip</li> <li>person-visits, household-visits, spending in total and by expense category for each location visited in Canada</li> <li>person- and party-nights spent in each location visited in Canada, in total and by type of accommodation used</li> <li>use of travel packages and associated spending and use of motor coach/other guided tours</li> <li>source of payment (household, government, private employer)</li> <li>demographics of adults that took or did not take trips</li> <li>travel party composition</li> </ul> <p>There are three files for this survey - Trip File, Visit File, and Person File.</p> <p>The TSRC is an independant supplemnet to the Labour Force Survey (LFS).</p>
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 teacher head, 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".