Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Niagara Falls, an acclaimed natural wonder straddling two countries, provides a convenient means of juxtaposing different tourism strategies. Canada focuses on providing ‘activities’ and adult entertainment while the USA has historically provided opportunities to view nature and (to a lesser extent) to participate in family-oriented festivals. The opening of a Canadian gambling casino in the area, coupled with currency fluctuations, has significantly undercut the US tourism industry. Using an econometric model, strategies for reversing the tourism decline in the USA are discussed. By offering family-oriented festivals, the US tourism industry can gain a differential advantage, because the growth of casino gambling in Canada carries an increasingly ‘adult image’. Catering to gamblers is a ‘niching strategy’ in which other target markets tend to be discounted. By catering to under-served markets, the USA can avoid challenging the Canadians ‘on their own turf’ and, thereby, meet with minimal competition and risk when expanding its tourism industry.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 it