Good News,Bad News and Timing of Quarter Reports Precontract Disclosure:——Combinatorial Motivation and Information Manipulation of Managers
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.
Bibliographic record
Abstract
In this paper,we do hypotheses testes with regression models to examine the relationship between firm performance combination(combination of good news and bad news),performance difference and timing of first quarter reports precontract disclosure and to probe into information of first quarter reports precontract disclosure time on the data of Chinese listed companies.Empirical researches indicate that timing of first quarter reports precontract disclosure mainly rests with combination and balance of positive effect along with good news and negative effect along with bad news published in last annual financial reports and in first quarter financial reports because managers have some combinatorial motivation and information manipulation in information disclosure due to last annual financial reports and first quarter financial reports are both required to be published by the end of April 30 of every year.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.004 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it