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Record W2737155324

ANALISIS WINDOW DRESSING PADA PERUSAHAAN BADAN USAHA MILIK NEGARA YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2012-2014

2016· dissertation· id· W2737155324 on OpenAlex
Shindy Virgin Aprillia

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

Venuenot available
Typedissertation
Languageid
FieldBusiness, Management and Accounting
TopicFinancial Analysis and Corporate Governance
Canadian institutionsnot available
Fundersnot available
KeywordsCashQuarter (Canadian coin)Stock exchangeBusinessSample (material)Balance sheetFinanceAccountingGeography
DOInot available

Abstract

fetched live from OpenAlex

ABSTRACT This study aimed to analyze whether the practice of window dressing on the company’s state-owned enterprises listed on the Indonesia Stock Exchange. The sample was 10 companies that already publish quarterly financial reports from 2012-2014. The method of analysis in this study using t-test analysis to see if there is a difference between Q1 and Q4, between Q2 and Q4, Q3 and Q4 as well as see the movement of the cash holding in each quarter. The results showed that there is a difference between Q3 and Q4 and increased cash holdings in each quarter 4. It can happen because companies tend to raise cash holding fourth quarter financial statements to reflect the end of a nice and cash holding can be used as an instrument to give signal that a company’s balance sheet is healthy and strong. Keyword : Window Dressing, Cash Holding, Quarterly Report

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), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.053
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0020.000
Scholarly communication0.0030.005
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.003

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 head0.009
GPT teacher head0.208
Teacher spread0.199 · 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