What do you need to know to live in the world? Global educational reform and the democratisation of knowledge
Bibliographic record
Abstract
This paper is an interpretive study of a Global Educational Reform Movement marshalling Global Education, Global Citizenship Education, Global Competence and twenty-first Century Skills in response to the problems caused by capitalist globalisation and a technological society.What kind of knowledge is being endorsed by this educational reform movement?Using Critical Discourse Analysis this paper shows that Interpretivist methodological capability is part of what GERM actors think you need to know to live in the world.This raises a puzzle: why are technocratic organisations engaged in metrological politics endorsing interpretive methodological capability?GERM is content driven and despite many well founded critiques, needs to be theorised under the rubric of Global Knowledge Politics.I employ the concept 'knowledge monopolies' from Canadian Political Economist Harold Innis as a way of theorising the complexities of GERM.My study points to the necessity for a conversation about the democratisation of knowledge.
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How this classification was reachedexpand
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 | 0.001 | 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 | 0.001 | 0.001 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".