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Record W4244917547 · doi:10.1007/978-3-8349-9149-2_35

Sanierungssteuerrecht

2006· book-chapter· de· W4244917547 on OpenAlex
Klaus T. Eichhorn, Lars Lawall

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGabler Verlag eBooks · 2006
Typebook-chapter
Languagede
FieldBusiness, Management and Accounting
TopicTaxation and Legal Issues
Canadian institutionsPricewaterhouseCoopers (Canada)
Fundersnot available
KeywordsPolitical scienceGynecologyMedicine

Abstract

fetched live from OpenAlex

Obwohl die Anzahl von Unternehmenssanierungen, Restrukturierungen und Insolvenzen in Deutschland seit Jahren angestiegen ist und nun auf hohem Niveau stagniert, gibt es für diesen Bereich kein eigenständiges „Sanierungssteuergesetz“, das wie z. B. das Umwandlungssteuergesetz die in diesem Zusammenhang relevanten Tatbestände umfassend regelt. Vielmehr sind die verschiedenen Maßnahmen und Stellhebel der leistungswirtschaftlichen, finanzwirtschaftlichen und strukturellen Sanierung dahingehend zu prüfen, ob sie relevante Tatbestandsmerkmale der geltenden Steuergesetze erfüllen und somit steuerliche Konsequenzen auslösen. Relevant sind hier v. a. die ertragsteuerlichen Regelungen des Einkommensteuergesetzes, des Körperschaftsteuergesetzes und des Gewerbesteuergesetzes, aber auch die Vorschriften des Umwandlungssteuerrechts.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.709
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0140.036

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 head0.020
GPT teacher head0.207
Teacher spread0.186 · 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