Bibliographic record
Abstract
The article examines how global financial crises and cataclysms that took place in the first quarter of the 21st century affected the corporate finance system. Such aspects of corporate finance as the internal control system, corporate governance principles, risk assessment, management and financial reporting are considered. Based on the analysis of publicly available information, statistical data and regulatory documents, the main changes in the above-mentioned areas of corporate finance that took place after the bankruptcy of Enron in 2001, the crisis in the US mortgage market and the subsequent financial crisis of 2008, the impact of the sanctions since 2014, as well as the consequences of the COVID-19 pandemic in 2019 are identified. Among the key factors that have influenced corporate finance, the following stand out: the growth in the number and diversity of regulatory requirements and restrictions (management and monitoring of regulatory compliance has become a separate and important area in corporate finance); a significant increase in the complexity and multifactorial nature of financial models and various forms of reporting; a reduction in the “planning horizon”, and an increase in the speed of business response and readiness for constant and unexpected changes in strategy, operational management, restructuring and rapid adaptation of existing business processes and systems.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".