Bibliographic record
Abstract
Inflation is one of the most significant factors which should be considered in the company’s tax design. In the text, the author introduces the influences of inflation on the tax burden of the company firstly, and then on the basis of discussing the problems which need to be paid attention to in the tax system design under the inflation, the author expatiates the tax system in detail, which includes the inventory valuation method taxation system design, cost sharing with the design of the tax system, depreciation calculation of the tax system design and sales income of tax system design. Key words: Inflation, Tax System Design Resume: L’inflation est le facteur le plus signifiant qui doit etre considere dans la conception d’impot de la compagnie. Dans l’article present, l’auteur introduit d’abord l’influence de l’inflation sur le fardeau fiscal de la compagnie, et puis, sur la base de la discussion des problemes qui meritent l’attention dans la conception du systeme fiscal sous l’inflation, l’auteur expose en detail le systeme fiscal, qui comprend la conception du systeme de taxation par methode d’evaluation d’inventaire, le partage des couts avec la conception du systeme fiscal, le calcul de depreciation de la conception du systeme fiscal et le revenu de ventes de la conception du systeme fiscal. Mots-Cles: inflation, conception du systeme fiscal
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".