POOR COMMUNICATION IS AL IVE AND WELL: A STUDY OF ANNUAL REPORT READABIL ITY
Bibliographic record
Abstract
Annual repor ts p rov ide t he p r ima ry communication medium between corporat ions and t he i r important external audiences, notably t he i r shareholders. Th i s s t u d y applies Flesch and Fog formulas t o demonstrate t h a t Canadiar? corporate annual repor ts a re p repared t o degrees o f reader comprehension d i f f i cu l t y beyond t he educational attainment levels o f 90 % o f a l l Canadians, and two- th i rds o f Canadian shareholders. Les rappor ts annuels sont le p r inc ipa l v6hic le de communication en t r e les corporat ions e t la populat ion concernCe, notamment leurs actionaaires. Cet te dtude a recours aux modsles de Flesch e t Fog, a f in de p rouve r que, les rappor ts annuels des corporat ions canadiennes sont prCparCs a u n niveau de connaissance supdr ieur a ce lu i de 9 0 pour cen t des Canadiens, e t d e deux- t iers des act ionnaires canadiens. In t roduc t ion Annual repor ts a re a p r ima ry means b y which corporat ions communicate formally w i t h t he i r shareholders, investors, c red i to rs and t he general publ ic, and unless t h i s specialized communication medium can be b road ly understood, a t least some readers w i l l have d i f f i cu l t y a r r i v i n g a t rat ional investment decisions. Insofar as low levels o f annual r epo r t comprehension p roduce resource misallocation behaviour,
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".