Year Ends; Trend Continues
Bibliographic record
Abstract
The price performance of hotels by region was worse this period than in the prior period, with only the Pacific and New England regions posting small single-digit gains. Hotels in non-gateway cities fared better than hotels in gateway cities, although the prices declined for hotels in both types of city. Transaction volume fell year over year but rallied quarter over quarter for both large and small hotels in gateway and non-gateway cities. Standardized prices of both large and small hotels continue to soften, indicating that investors should continue to keep their gunpowder dry. On the bright side, hotel debt financing continues to fall both on a quarter-to-quarter and year-over-year basis. In addition to this, the riskiness of hotels has narrowed relative to other major types of commercial real estate, although the delinquency rate on hotels rose imperceptibly this quarter. As in the prior period, the borrowing costs still exceed the return on hotels. Expect to see a faltering in the price of large hotels and an uptick in prices for small hotels next quarter, based on our leading indicators of hotel price performance. This is Volume 12, Issue 4, of the CREF Indices series.
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.
How this classification was reachedexpand
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) | 0.002 | 0.003 |
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; both teacher heads 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".