Bibliographic record
Abstract
This essay explores the concept of reclaiming democracy in the Googleburg Galaxy by emphasizing the need to separate from our current relationship with mediated technologies. It argues that digital spaces should be activated as public spheres, third spaces, counter-publics, and sites of contestation. The essay emphasizes the importance of participatory democracy, which requires freedom of assembly, thought, speech, play, and choices for individuals to be active agents in their lives. It discusses the intertwined nature of democracy and capitalism and highlights the role of critical media literacy in navigating mediated spaces. The essay also examines young people’s occupation of digital spaces and social media, focusing on the impact of language and the importance of diverse stories and representation. It discusses the need for a free press in guaranteeing the protection of democratic rights and critiques Habermas’ notion of the public sphere. The essay calls for reconfiguring the Googleburg Galaxy through third spaces and counter-publics and emphasizes the role of play, storytelling, and critical media literacy in reclaiming democracy. It explores the impact of COVID-19 on digital spaces and the need for alternative spaces, politics, and pedagogies. The essay concludes by highlighting the role of play as a subversive tool for reclaiming democracy and the importance of children’s rights in digital spaces.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.038 |
| Scholarly communication | 0.010 | 0.012 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".