The Volkswagen Scandal from the Viewpoint of Corporate Governance
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
Like some other crises and scandals that periodically occur in the business community, the Volkswagen (“VW”) scandal once again highlights the devastating consequences of corporate misconduct, once publicly disclosed, and the media storm that generally follows the discovery of such significant misbehaviour by a major corporation. Since the crisis broke in September 2015, the media have relayed endless details about the substantial negative impacts on VW, on various stakeholder groups such as employees, directors, investors, suppliers and consumers, and on the automobile industry as a whole.1 The multiple and negative repercussions at the economic, organizational and legal levels have quickly become apparent, in particular in the form of resignations, changes in VW's senior management, layoffs, a hiring freeze, the end to the marketing of diesel-engined vehicles, vehicle recalls, a decline in car sales, a drop in market capitalization, and the launching of internal investigations by VW and external investigations by the public authorities.
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 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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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 it