Domino's Pizza Enterprises: Weighted Average Cost of Capital
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
On November 4, 2020, the group chief financial officer of Domino’s Pizza Enterprises Limited was tasked with determining the cost of capital in preparation for the corporate response to the COVID-19 pandemic. In planning for 2021, the company would need to make considerable investments throughout its franchises in Australia, New Zealand, Japan, and Europe. The cost of capital would be integral to these investment decisions. In the previous year, Domino’s Pizza Enterprises Limited had made A$98.9 million in investments, so the difference of a few per cent in capital costs could mean a swing in millions of dollars in expenditures. The chief financial officer had all background information including balance sheets, income statements, cash flow statements, common stock data, financial ratios, market return data, peer firm data, and an itemized list of debt obligations. Based on this information, he had to derive the company’s cost of capital using a weighted average cost of capital methodology.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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