A strange angel: William Norman Illingworth [1902–1980] and Sangreal School – towards a history of conservative alternative schools in 20th-century Britain
Bibliographic record
Abstract
Purpose This work concerns William Norman Illingworth [1902–1980]. Disillusioned with teaching in conventional schools and inspired by Rudolf Steiner [1861–1925] he founded Sangreal School, in 1947, and operated this until the early 1970s. Sangreal was what I describe as a “conservative alternative school”, employing methods and pursuing goals not found in most British schools of the period but, unlike avowedly progressive establishments, guided by socially conservative principles. The purposes of the work are both to rescue his/Sangreal’s story from obscurity and to encourage research to establish if other such schools have existed and, if so, to describe and analyse them in an effort to give the category conservative alternative school the recognition it properly deserves. Design/methodology/approach The method is a combination of life history/biography and case study of a specific school. Findings The story is interesting in its own terms and points to the existence of a hitherto unnoticed category in history of education. Research limitations/implications This work may lead to the proper recognition of a neglected category. Originality/value This work deals with a school hitherto unknown to most people and may lead to the recognition of a new category.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".