Bibliographic record
Abstract
Abstract The concept of indoctrination is typically used to characterize the actions of individual educators. However, it has become increasingly common for citizens to raise concerns about the indoctrinatory effects of institutions such as schools and universities. Are such worries fundamentally misconceived, or might some state of affairs obtain under which it can be rightly said that an educational institution is engaged in indoctrination? In this paper Christopher Martin outlines what the concept of institutional indoctrination could mean. He then uses Jürgen Habermas's discourse theory in order to develop a specific conception of institutional indoctrination: an educational institution indoctrinates when it exercises its authority in order to support the deliberative norm that some belief P ought to be exempt from tests of or challenges to its truth or rightness just because it is belief P. Martin argues that this norm undermines conditions of symmetrical and inclusive public discourse essential to the development of knowledge and understanding among free and equal citizens. That is, institutional indoctrination involves a closing of the public mind.
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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 | 0.014 | 0.044 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.030 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.003 | 0.004 |
| 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".