Bibliographic record
Abstract
British Columbia, Canada was contracted by PGA Tour to conduct an on-site survey of attendee characteristics, behaviors and expenditures. Slightly over two-thousand usable questionnaires were completed and summary statistics on attendee place of residence, length of stay, on- and off-site expenditures and overnight accommodations were computed from these questionnaires. An estimated 47,000 individuals attended the event for an average of two days. In addition, there were 582 players, caddies, officials, TV crew-members and marketing clients who participated in the event. It was estimated that 8,775 attendees and participants to the event resided outside the study area and thus contributed “new ” dollars to the Bay area’s economy. Based on EventCorp Services ’ survey findings, average on-site expenditures by all 47,582 attendees and participants were estimated to be $84.23 per day, and totaled $8.2 million for the event. Approximately 79.5 percent, or $6.5 million of total on-site expenditures were estimated to originate from local attendees, with the remaining $1.7 million originating from non-local attendees and participants. Total off-site expenditures by the 8,775 non-local attendees and participants were estimated at $12.7 million. All together, expenditures by participants, associates and attendees are estimated to total $20.9 million, which includes $14.3 million in
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.433 | 0.366 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".