Bibliographic record
Abstract
The work of Jurgen Habermas has analysed the public sphere, a realm within which people debate. According to Habermas, the public sphere, because of structural transformations of society, has disintegrated. This sphere in which people used to debate democratically about the interests of the population has eroded, especially with the invasion of capital within culture. In fact, once people started to benefit economically from culture, the content presented to the audience was transformed from something valuable to society to something profitable to media owners. This thesis demonstrates that the rise of consumerism has played a role in making mass culture an important tool for the commoditisation of society, creating a never-ending flow of consumption items. I argue that laissez- faire economics, the system in which the communication sector navigates, inevitably leads to concentration of ownership in the media. This concentration accelerates the problems created by the invasion of capital within culture. The case study of this thesis demonstrates that Québec‟ s public sphere has become myopic, because people debate mainly about apolitical matters. I argue that the unfettered rise of conglomerates such as Quebecor has played an important role in the creation of Québec‟ s Myopic Public Sphere.
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 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 | 0.002 |
| Science and technology studies | 0.011 | 0.004 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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".