An analysis of supplementary data in annual reports of selected Canadian public companies, 1938-1963
Bibliographic record
Abstract
The study seeks to trace the historical development of the form, design and content of supplementary information in the annual reports of Canadian public companies for the period 1938 -- 1963. Public companies refer to all companies, other than mining and oil companies, whose shares were listed on any one of the five stock exchanges in Canada as of June 1, 1964. Supplementary information is defined as any information which a company furnishes in its annual reports other than the information required to be published by the Companies Act, Canada. Specifically, the study is based on an analysis of the annual reports of 115 Canadian public companies for five selected years, namely: 1938, 1948, 1953, 1958, 1963. The 115 companies were picked by means of stratified random sampling. They represent approximately 19% of the total listed public companies. Among the main findings of the study, three trends were particularly outstanding, namely: the trend toward more disclosure .of supplementary information, the trend toward improved format and design in the presentation of supplementary information and the trend toward an enlarged report.
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 | 0.004 | 0.032 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.027 | 0.056 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".