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Record W1892470813

국내자본과 외국자본의 오피스 투자행태 분석

2009· book· ko· W1892470813 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

Venue國土硏究院 eBooks · 2009
Typebook
Languageko
FieldComputer Science
TopicAdvanced Statistical Modeling Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsClosed-end fundInvestment (military)Significant differenceBusinessTest (biology)Quarter (Canadian coin)Foreign direct investmentEconomicsMonetary economicsFinanceMarket liquidityPolitical scienceStatisticsMathematicsGeographyLawMacroeconomics
DOInot available

Abstract

fetched live from OpenAlex

This study focuses on the difference of investment behavior between domestic and foreign funds in the Seoul office building market by analysing transaction data for the past 11 years. To make story more distinctive, the periods were divided into two. The first step was from 1998 to 2004, the second step from 2005 to the first quarter of 2009. At first, we study on the difference of investment behavior in domestic fund, between domestic and foreign fund using by the result of technical analysis on data. Then we make a hypothesis and test the hypothesis by chi-square analysis, t-test, survival analysis. This study analyze the difference of behavior in domestic funds with time, the comparison between general domestic funds and that fund for only investment, the difference of investment behavior and holding period between domestic and foreign funds, the factors that affect holding period.

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)0.001
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 categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.520
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0040.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.001

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 head0.031
GPT teacher head0.295
Teacher spread0.264 · 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