Bibliographic record
Abstract
INTRODUCTION Canada's commitment to, and responsibility for promoting and ensuring a fair and egalitarian society are clearly expressed in such documents as the Canadian Charter of Rights and Freedoms, the Canadian Human Rights Act, the Employment Equity Act, and, more recently for federal government employees, the Policy on the Duty to Accommodate Persons with Disabilities in the Federal Public Service. There has been a growing recognition that equal access to electronic information and services must be provided, and that less than total access for all could become extremely costly, both in social and economic terms. Anything less undermines the values of equality that have shaped this nation, and undermines economic opportunities. With more and more information and services available on the Internet, governments are increasingly concerned that the services they provide are equally accessible to all potential users, including Canadians with disabilities and those with literacy challenges. The Government of Canada is supporting a wide range of initiatives to promote accessible Web content and standards. Industry Canada's Web Accessibility Office is working with other federal government departments to develop accessibility standards for Government of Canada Web sites. It is also heading up an innovative pilot program that is placing more than 1000 assistive technology devices, called Web-4-All, in public Internet access sites across the country. With Web-4-All, users simply swipe a smart card into computers equipped with the technology, and their preferences, such as having text enlarged or read aloud, are instantly loaded. The Web-4-all pilot initiative was made possible with the help of supporters and sponsors such as the University of Toronto's Assistive Technology Resource Centre, which developed Web4-All under contract to Industry Canada, and Bell Canada, Hitachi Canada and the Royal Bank of Canada, who donated the smart card technology used in this project. Industry Canada's commitment to this project underscores the importance of ensuring that the benefits of information technology are available to all Canadians. The Government of Canada's leadership in this regard complements its Innovation Strategy, which is part of Canada's program to build a more innovative economy and society. WHAT IS WEB-4-ALL? Web-4-All is an innovative technology that enables people with disabilities and low literacy levels, as well as seniors and people unfamiliar with computers, to use the Internet on public access computers. …
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.129 | 0.036 |
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".