in Canadian Corporations Dr. Nick Bontis
Bibliographic record
Abstract
There has been increased attention and focus on the importance of intellectual capital disclosure. Several Scandinavian companies have ventured forward by publishing intellectual capital statements. However, despite the global appeal and changing beliefs surrounding the value of intellectual capital, it continues to be excluded from Canadian corporate annual reports. This paper outlines a study in which content analysis was conducted on the annual reports of 10,000 Canadian corporations. A list of intellectual capital related terms was searched within the annual reports yielding a significantly small number of instances in which intellectual capital disclosure took place. A major recommendation for corporations that are concerned with their relationship with the capital markets is to develop strategic and tactical initiatives that provide for voluntary disclosure of intellectual capital. These initiatives may initially be used for internal management purposes only; however, an external stakeholder-focus report will more than likely be the ultimate goal. Copyright 2002, Bontis. Version: April 14, 2002. All rights reserved. This paper is open for comment and is targeted for publication in the Journal of Human Resource Costing & Accounting.
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 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".