Bibliographic record
Abstract
Within the context of the telecommunications policy environment in the United States during the 1990s, the Department of Commerce's Falling Through the Net reports can be read as a 7-year ideological project to legitimize U.S. government's deregulatory policies. This article analyzes the “digital divide” as rhetorical trope in a neoliberal ideology, which placed responsibility for social and economic success in the emerging global information economy at the level of the individual and not the system, effectively foreclosing on any class-based analyses of the problems associated with the transition from a Keynesian welfare state and industrial economy to a neoliberal and globalized information economy. Unpacking the discursive significance of the “digital divide,” with special focus on public libraries and projects of the Gates Foundation, illuminates how it foreclosed on the possibility of alternative problem definitions by making the problem a technical and administrative one rather than an issue of historic class struggle. The article draws on open-source projects in developing countries to offer an alternate frame for formulating policies for equitable access to information and communication technologies (ICTs).
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 | 0.007 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.012 | 0.083 |
| Scholarly communication | 0.019 | 0.023 |
| Open science | 0.001 | 0.013 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.007 | 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; 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".