Equal Access, Unequal Success — Major and Minor Canadian Parties On the Net
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The Internet has been heralded as the most revolutionary technology since the printing press. Within political science, much work centres around the democratizing potential of the Internet. Cyber-optimists argue that the Internet has the capacity to equalize political competition for parties. Other scholars argue that the Internet will not dramatically change the status of minor parties. Politics on the Internet will be `politics as usual'. Empirical support for both theories is mixed. Research has shown that party-centred countries are more likely to become equalized as a result of the Internet than candidate-centred countries. Using data from the 2004 federal election, this article argues that the Internet has not led to an equalization of party competition in Canada. The websites of nine political parties show that despite equal access to the Internet, there is unequal success in cyberspace for Canadian parties.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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 it