A New Architecture of the Public Sphere: Online Deliberation at the Liberal Party of Canada’s 2011 Extraordinary Convention
Bibliographic record
Abstract
This thesis examines the quality and effectiveness of online political deliberation, within the framework of Jurgen Habermas’ public sphere and discourse theories. The thesis analyzes a deliberative process that took place online, in June 2011, as part of the Liberal Party of Canada’s Extraordinary Convention, specifically through content and discourse analysis of data from online discussion platforms. The analysis sought to ascertain whether the objectives of the convention were met, measured the quality of discourse and identified insights to support the creation of more effective spaces for political deliberation online. Analysis of the results revealed a difference in the discourse quality for each platform, attributed to the synchronicity or asynchronicity of the platform. The thesis concludes with suggestions for a design that makes use of both the synchronous and asynchronous features of the online discussion platforms in order to more specifically target the objectives of the political process.
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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 | 0.006 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.012 | 0.017 |
| Scholarly communication | 0.017 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".