Official Knowledge: Democratic Education in a Conservative Age, Third Edition (2014) by Michael W. Apple
Bibliographic record
Abstract
is one of the most influential and prolific critical educators in the world.As of August 2012, he was the author of more than 300 chapters in books, journal articles, and essays and of over 45 books.A number of the latter have appeared in multiple languages and editions.The third edition of Official Knowledge: Democratic Education in a Conservative Age, like its predecessors published in 1993 and 1999, conveys Apple's struggle "to understand the limits and possibilities of democratic educational action" (p.ix).This struggle involves "the immensely contradictory formations in education and elsewhere of class, race, and gender relations in politics, in economics, and in culture" (p.202).Apple refers to his stance as "defiant humility" (p.xxii, emphasis in original).This … involves defiance against the forces of dominance, capital, racism, and empire, even when, as now, they are extremely powerful and challenging them involves very real risks.And it involves humility in response to a new world and new dynamics-and to the processes of learning and unlearning that such a new world calls for.(p.xxii)
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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 0.010 |
| Insufficient payload (model declined to judge) | 0.011 | 0.005 |
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".