MétaCan
Menu
Back to cohort
Record W7126717620

Heading into Economic Headwinds

2022· article· en· W7126717620 on OpenAlexaboutno aff
Crocker H. Liu, Adam Nowak, Robert (1538?-1574). Compositeur White

Bibliographic record

VenueeCommons (Cornell University) · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing Market and Economics
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Heading (navigation)CurrencyDebtInflation (cosmology)Database transactionTaxisRevenueCompensation of employees
DOInot available

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.851
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.002

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.

Opus teacher head0.038
GPT teacher head0.178
Teacher spread0.141 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueeCommons (Cornell University)Same topicHousing Market and EconomicsFrench-language works237,207