Assessing the economic impact of a UNESCO World Heritage designation
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
Grand Pré Historic Site in Nova Scotia (Canada) is in the process of applying for a United Nations Educational, Scientific and Cultural Organization (UNESCO) World Heritage Site (WHS) designation. Conventional wisdom is that such a designation would generate public awareness and increase visitation to the site. The goal of this paper is to estimate the impact of a WHS designation on tourist visitation and related expenditures. Various tourism statistics (covering 1990–2008) for Nova Scotia and its only other established UNESCO site – Lunenburg (designated in 1995) – served as data. Regression analysis produced an estimate of the tourist visitation impact that a WHS designation had on Lunenburg, and could be expected to have on Grand Pré. An increase of 6.2% in tourist visitors due to a WHS designation was estimated. Survey data collected at Grand Pré provided average spending per visitor. The economic impacts were analyzed under both a projected and a historical scenario of visitation. Based on its 10-year historic visitation average, a WHS designation for Grand Pré would generate an increase of 3000 visitors per year. These visitors would generate spending of approximately $200,000 annually in the local economy. Such spending would provide a boost to the local tourism industry, which has experienced significant decline in recent years.
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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 | 0.001 | 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 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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