Cibercidanania na República Tecnológica: contribuições info-inclusivas dos novos paradigmas transculturais canadenses(Unesp-Bauru/UofTCanadá /CAPES
Bibliographic record
Abstract
As a result of a post-doctoral research (CAPES, Brazilian Foundation, 2006-2007), carried out at the McLuhan Program in Culture and Technology (University of Toronto- UofT) – this paper intends to present some of the main info-inclusion contributions that came from transcultural phenomenon of Canadian society into the constitution of the government and private online service networks. These contributions have really helped in attempt to outline the essential characteristics of cyber citizenship in an approach and precise ways, and with it, to draw a cybercitizens profile in the contemporary. In addition, to glimpse the main and probable onus and bonus from the virtual technologies in to exercise the participatory democracy among others political and social conditions – faced as challenges and (re)discoveries of the non-territorial nature of the internet – they will be reunited and organized in the book entitled Cyber citizenship – what is the meaning of the right and duty in the online world?, with preview edition in 2008 (English and Portuguese versions).
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.005 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".