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
<p>Accommodation plays a significant role in tourism infrastructure; without a reliable place to stay overnight, tourists will not visit the location. Aligning with concepts described in the 2008 Tourism Satellite Account: Recommended Methodological Framework (TSA: RMF 2008), accommodation services are among 12 tourism sectors which are interrelated with each other through flow-on activities. When accommodation establishments purchase goods and services through their day-to-day transaction and pay their workers, this money is recirculated through the economy. Therefore, this study examined the impacts of expenditure spent by the visitors for accommodation on the economy both directly and indirectly. The Leontief Input-Output Model for the twelve tourism sectors was developed to calculate the impacts of tourist spending on lodging and other interrelated tourism services in Thailand. Data used in this study are from both primary and secondary sources. Findings indicated that tourism accommodation in Thailand was the second largest contributor to the tourism industry after “Air passenger transport services”. The computed multiplier showed that linkages of services between accommodation services providers and other tourism sectors helped generate income for the economy higher than the direct income paid directly from the tourists.</p>
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 | 0.002 |
| 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