Heading into Economic Headwinds
Bibliographic record
Abstract
The price of hotels rose in all regions except the Mid-Atlantic this quarter. Hotel prices in the Mountain and South Atlantic regions reached new statistical highs, while hotel prices in the Pacific region continued to remain above their statistical high. Hotels in non-gateway cities posted higher quarterly gains relative to gateway cities, as non-gateway prices increased 5 percent, compared to 3 percent for hotels in gateway cities. The transaction volume on all hotel transactions ((both large hotels and small hotels combined) surged 27 percent this quarter (61% year over year). Median prices also rose this quarter for both large and small hotels as well as hotels in non-gateway cities while hotels in gateway cities declined 23 percent. The prices of large and small hotels appear to be undervalued based on moving averages. However, the cost of hotel debt financing rose sharply this quarter, as well as year over year. Lenders are requiring relatively more compensation for hotel loans relative to other commercial real estate, and to the 10-year risk-free rate due to increased perceived risk. The rise in borrowing cost will dampen enthusiasm for undervalued hotel properties, since our EVA and SVA metrics indicate that the cost of borrowing exceeds the return for hotels.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.211 | 0.055 |
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".