Bibliographic record
Abstract
Lightspeed Commerce Inc. was once among the darlings of the Toronto Stock Exchange (TSX), with a peak share price of over $150 in 2021. But the high rate of growth was not sustainable for this Canadian-based provider of point-of-sale and e-commerce software, and its share price dropped by more than 85 percent by the middle of 2022. The 2025 results for Lightspeed included a write-down of Goodwill totalling US$556.4 million, an overall net loss of US$667.3 million and an adjusted Earnings Before Interest, Taxes, Depreciation and Amortization (EBITDA) profitability for the year of US$53.7 million. The case requires participants to discuss the difference between intangible assets and goodwill, assess the nature of goodwill impairment, discuss the nature of pro forma measures of income under International Financial Reporting Standards (IFRS), and inform potential investors whether or not the future is promising for Lightspeed.
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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.008 |
| Scholarly communication | 0.013 | 0.009 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.012 | 0.014 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".