Bibliographic record
Abstract
The purpose of this thesis is to show how the anarchistic structure of computer-mediated communications networks empowers small activist cells by allowing them to circumvent established informational structures and establish highly flexible and dynamic "webs" of cooperation and support. The rise of these new modes of communication was significant for it enabled online activists to bypass established media such as television and newspapers and disseminate information directly to a mass audience. Through an analysis of online culture and the growth of the social netwar waged by the Zapatista of southwest Mexico, I suggest that the Internet and its use by online activists had a significant impact on the rebellion and is influencing the Mexican government to seek a negotiated settlement as opposed to a military solution to the conflict. The research design involves a review of a wide variety of literature on the topic, including academic journal articles and scholarly works as well as popular magazines and electronic mailing lists. Because of the nature of the research, much of the material came from online sources such as world wide web sites, electronic mailing lists and gopher sites. Inquiries of this kind into the nature of Internet culture are important if we are to understand the implications and impacts of the Internet on the political fabric of Western society. We are in the midst of the digital age, and academic study is of paramount importance if we are to understand not just where we are, but where we are headed.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.013 |
| Scholarly communication | 0.010 | 0.013 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".