Bibliographic record
Abstract
Understanding the social dynamics shaping the internet is vital as media power takes on new dimensions in the digital realm. The internet is increasingly necessary for participation in social life yet corporations continue to shape the online architecture to suit their own narrow commercial interests. In their drive to enclose the internet, online media companies create synergistic membranes with prescribed circuits that constrain user freedoms. Taken together, these synergistic membranes form a new layer of the internet — the Google layer, which constrains and commodifies users' range of motion within a narrow, privatized slice of the world wide web. This jeopardizes the creation of a commons-based communications system with a public service orientation, something that is essential to participatory and democratic dialogue. The open architecture of the internet, characterized and supported by free and open source software (FOSS), defends the digital commons against cyber-enclosure. Social practices and values that distinguish FOSS comprise a liberatory praxis as well as an alternative vision of social organization offline that prefigures a more democratic media system, and broadly construed, a more democratic society.
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 | 0.008 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.039 |
| Scholarly communication | 0.022 | 0.030 |
| Open science | 0.002 | 0.021 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.026 | 0.004 |
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".