Bibliographic record
Abstract
From the editorA complete overview of the controversy about education equality would necessarily include the works of Marxist educators. It turns out that quite a few researchers in Western universities who, having not been vaccinated by classes on «scientific communism», are still trying to use the Marxist approach to analyze the current difficult situation in education. The neo-Marxist strain in Western pedagogical thought is often called critical pedagogy. One of the most prominent representatives of this approach is Peter McLaren, a UCLA professor. His book Life in Schools was published in the mid 1990s. It describes the author’s difficult experiences of teaching at a school in an underprivileged neighborhood in a Canadian city. The book has become extremely popular, partly because the author presented very firmly and lucidly the principal tenents of critical pedagogy. We are publishing a fragment from this book, in order to include an important voice in the controversy on equality. The complete Russian translation of Life in Schools will appear in the series «Education. World Bestsellers» published by the Prosveschenie publishers in cooperation with the National Foundation for Workforce Training and the Moscow School for Social and Economic Sciences.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.023 | 0.012 |
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".