Effecten van IFRS 16 Leases op informatie in de jaarrekening
Bibliographic record
Abstract
Dit artikel onderzoekt effecten van de eerste toepassing van IFRS 16 op informatie gerelateerd aan leases in jaarrekeningen over 2019 bij lessees. IFRS 16 vereist meer informatie over leases waarvan een groot deel dikwijls wordt gegeven. Een ander deel echter, met name over toekomstige leasebetalingen, veel minder. Ook over gevolgen van door de invoering van IFRS 16 veranderde cijfers in de jaarrekening op impairment testing, alternatieve prestatiemaatstaven en bestuurdersbeloningen treffen we (heel) weinig informatie aan. Vaker besteden de controleverklaringen van de accountant bij de jaarrekening aandacht aan de invoering van IFRS 16. De grondslag voor verwerking van latente belastingposities als gevolg van IFRS 16 wordt weinig vermeld, is uiteenlopend en wacht op de aangekondigde regelgeving.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.007 |
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; both teacher heads agree on what is shown here.
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".