Toward a Re-thinking of Mass Public Schooling: A Personal Exploration
Bibliographic record
Abstract
Mass public schooling as we know it was one result of the industrial revolution. Its organizational form was heavily influenced by the ‘code’ of industrialism, the scientific management movement and industrial bureaucracy. While the promise of the philosophy underlying the use of the bureaucratic form in social institutions is tempting, the literature of bureaucracy indicates that bureaucratic organizations are most successful when certain preconditions are met, less successful when they are not. These preconditions are increasingly absent from our schools, school systems and the environment in which they operate. Hence, the bureaucratic form is increasingly counter-indicated, and its continued use may be a contributing factor in what appears to be a growing level of dissatisfaction with the system and dysfunction in the system. By recognizing a distinction between the terms ‘education’ and ‘schooling’ we may be able to move beyond mass public schooling to a situation in which the public is well-educated. Key words: bureaucracy and schooling, education and schooling, school organization
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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.009 | 0.045 |
| Scholarly communication | 0.012 | 0.014 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 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".