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Record W311997812

Useful Aspects of US Real Estate Investment Trusts for China ASPECTS UTILES DU REITS DES ETATS-UNIS POUR LA CHINE

2007· article· fr· W311997812 on OpenAlexvenueno aff
Jinzhao Wang

Bibliographic record

VenueCanadian social science · 2007
Typearticle
Languagefr
FieldEconomics, Econometrics and Finance
TopicInsurance and Financial Risk Management
Canadian institutionsnot available
Fundersnot available
KeywordsReal estate investment trustChinaReal estateInvestment (military)BusinessAsset (computer security)Order (exchange)EstateFinanceFinancial economicsEconomicsPolitical scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

Real estate has long been a popular form of investment in many countries. With recent years seeing an increased level of global interest in indirect investment in this asset class through real estate investment trusts (REITs), opportunities in China markets are now grabbing much attention. China is being tipped as the area likely to offer the best returns over the coming years. This article traces the development and growth of REITs in US, where there are lessons to be learnt, so that subsequent efforts to introduce REITS' status, requirements, types and advantages. Further more, benefits, key evaluating elements, risks and obstacles were discussed respectively in order to promote practice and application of REITs in China and avoid risks in applying process to create a reasonable framework and structure.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.272
Threshold uncertainty score0.542

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.020
GPT teacher head0.236
Teacher spread0.216 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2007
Admission routes1
Has abstractyes

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