Disaster Capitalism, Rampant EdTech Opportunism, and the Advancement of Online Learning in the Era of COVID19
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The authors consider the ways in which educational responses to COVID19 exemplify opportunistic disaster capitalism. Prior to the pandemic, neoliberal influence increasingly impacted education systems all over the world, pushing for increased privatization in/of schools. COVID19 has created conditions for private technology companies to push for increased participation in public schools. That is, corporations are using this health crisis to further mobilize the neoliberal agenda, and encourage policies, practices, and technological infrastructure that will be used to rationalize ongoing online learning. In turn, we ask: What are the motivations and implications of inviting private EdTech into public education? How does EdTech encourage a move to online learning; c) what are the overall impacts of online learning? Under the veil of the panic of a global health crisis, our public education systems in Canada are being put at risk.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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 it