Information and communications technology: Plugging Ontario higher education into the knowledge society
Bibliographic record
Abstract
In this article I examine information and communications technology (ICT) in the context of changes to higher education. My analysis uses Ontario as a case study to illustrate that ICT and the knowledge society discourse is not about technological innovation per se. Rather the discourse legitimates neoliberal reforms to the higher education sector to lay the ground for participation in international markets. That is, these reforms enable privatization of higher education in keeping with pressures exerted by the World Trade Organization (WTO) and the General Agreement on Trade and Services (GATS). The case of Ontario is interesting because of the strategies used to "sell” massive neoliberal reforms to a public that has been, generally speaking, quite protective of its public services. The strategies and mechanisms used to "plug Ontario into the Knowledge Society" reveal how GATS works in local jurisdictions, and contributes to the study of how education within social welfare states comes to take on market characteristics.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.018 | 0.015 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".