Music Refrain: One More Time
Bibliographic record
Abstract
The price of hotels showed strength in all regions except the South Atlantic this quarter, with all regions except New England experiencing double-digit growth year over year. Hotels in non-gateway cities posted higher quarterly and yearly gains relative to gateway cities, with the non-gateway hotels? prices increasing 4 percent for the quarter, compared to 2 percent for gateway properties. On a year-to-year basis, non-gateway hotels recorded a 19-percent increase versus 3 percent for gateway properties. However, regardless of price changes, the transaction volume for all hotels (that is, both large hotels and small hotels) fell this quarter. With regard to price, small hotels appear to be undervalued (while large hotels range from correctly priced to overvalued) based on both a 3-year and a 5-year moving average. The cost of hotel debt financing continued to rise this quarter, as well as year over year. Lenders are requiring relatively more compensation for hotel loans relative to the 10-year risk-free rate due to increased perceived risk. As in the previous period (Q3 of 2022), our economic-value-added and shareholder-value-added metrics continue to indicate that the cost of borrowing exceeds the return for hotels. Looking toward the next quarter (i.e., near term), our leading indicators of hotel price performance indicate that we should expect slower or declining price momentum for larger hotels but not necessarily for smaller hotels. This is volume 11, issue 4 of the hotel 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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.360 | 0.190 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".