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
Hotel prices continue to converge toward pre-pandemic levels. Gains posted were smaller relative to the previous quarter but higher year over year. Hotels in both gateway and non-gateway cities continue to exhibit positive performance, with hotels in non-gateway cities posting greater gains. Transaction volume continued strong for large and small hotels quarter over quarter and year over year, although the increase in volume was smaller in this instance than was the increase in the prior period. Our moving average trendlines indicate that large hotels are priced to buy, while small hotels are priced at market (priced fairly). Large hotels declined from their statistical high set last quarter, based on our standardized unexpected price (SUP) performance metric. In terms of financing hotels, mortgage financing volume continued to rise, as the cost of financing hotels slightly diminished this quarter. Among factors that have contributed to this situation are the relative risk premium, which has remained stationary this quarter, and a continued decline in the hotel delinquency rate. Hotel deals continue to look profitable, based on our economic value added (EVA) and shareholder value added (SVA) metrics. Looking toward the next quarter, our leading indicators of hotel price performance indicate that we should expect slower or declining price momentum for larger hotels but positive price gains for smaller hotels.
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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.001 |
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