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Record W1892470813

국내자본과 외국자본의 오피스 투자행태 분석

2009· book· ko· W1892470813 on OpenAlexaboutno aff
김상용, 한제선, 유선종

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.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
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 head0.031
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

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 designObservational
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
Published2009
Admission routes1
Has abstractyes

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