The Future of Teledemocracy. By Ted Becker and Christa Daryl Slaton. Westport, CT: Praeger, 2000. 248p. $65.00 cloth, $24.95 paper.
Bibliographic record
Abstract
As Ted Becker and Christa Slaton affirm in their introduction to The Future of Teledemocracy , this is not “just another book” of scholarly reflection but, rather, an account of “a way of life” (p. xii) in which they have played a central role. Consequently, instead of a detached, critical investigation of the dynamic encounter among technology, communication, and democratic politics, or even a dispassionate appraisal of the implications of a particular aspect of this encounter, what we receive in this book is an intimate digest of Becker and Slaton's 23-year “odyssey” on behalf of their own vision of teledemocracy—complete with “true blue allies” and powerful enemies “who opposed our ideology and had the means to halt our experiments” (p. xi)—framed by a futurist manifesto that unfortunately diminishes the contribution made by the chronicle of the authors' crusade.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.013 |
| Scholarly communication | 0.000 | 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".