The Good, the Bad and the Ugly: the Political Strategist and the Internet
Bibliographic record
Abstract
Any interest in the political potential of the Internet we owe to Barack Obama‟s victory in 2008, and Howard Dean‟s failed campaign for the Democratic presidential nomination in the United States in 2003 . Obama succeeded, demonstrating how the Internet could drive public opinion and voter participation (Lee, 2010). Dean‟s campaign self-destructed in spectacular fashion after his „I have a scream‟ speech, Dean had raised a substantial amount of money from small donors using the Internet, and that got people‟s attention. In Canada, despite some interesting forays by the federal New Democratic Party (NDP), the Internet has yet to really come to the fore – however much people may discuss politics in online forums (Janssen Kies, 2005). Most Canadians are not interested in politics on the Internet because most Canadian are not interested in politics period, whatever pollsters may want you believe. The most Internet-adept segment of society in Canada and a number of other countries, young people, are also the least politically engaged.
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 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 | 0.003 | 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 | 0.006 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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 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".