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Record W3173835844

공인중개사와 변호사의 부동산거래 협업에 관한 연구

2020· article· ko· W3173835844 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venue도시정책연구 · 2020
Typearticle
Languageko
FieldArts and Humanities
TopicCultural and Historical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsReal estateEscrowBusinessClosing (real estate)Database transactionComputer securityFinanceComputer scienceDatabase
DOInot available

Abstract

fetched live from OpenAlex

In this paper, the Canada's real estate transaction system is introduced, which has similar to that of in the eastern United States. In other words, the real estate agents cooperate with the real estate lawyers at the closing process. In Korea, the real estate agents normally collaborative with other experts such as judicial scriveners and accountants at the closing process. Thus, the collaboration with the real estate lawyers may be easier than introducing a new system, the Escrow. In Korea, unlike to the Unite State, the real estate can be divided into building and land, and the rights over the real estate are not as simple as that of in the United State. Therefore, the cooperation between real estate agents and lawyers helps protect the socially widespread crimes, i.e. downsizing contracts, document forgeries, double contracts, and so on. Therefore, the collaboration with the real estate lawyers at the closing process may contribute the real estate transaction system more safer and increase reliability.

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.

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 categoriesInsufficient 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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.796
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0130.005

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 head0.100
GPT teacher head0.209
Teacher spread0.110 · 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