Bibliographic record
Abstract
In From Socrates to Summerhill and Beyond: Towards a Philosophy of Education for Personal Responsibility, Ronald Swartz offers an evolving development of fallible, liberal democratic, self-governing educational philosophies. He suggests that educators can benefit from having dialogues about questions such as these: 1). Are there some authorities that can be consistently relied upon to tell school members what they should do and learn while they are in school? 2.) How should the imagination of social theorists be both used and checked in the development and implementation of innovative educational reforms? 3.) How can teachers in personal responsibility schools help their students learn? These questions are representative of problems that Swartz raises in his book. Swartz identifies four educational programs as personal responsibility schools. These are Little Commonwealth (Homer Lane); Summerhill (A.S.Neill); Orphans Home (Janusz Korczak) and Sudbury Valley School (Daniel Greenberg). Swartz then suggests that these learning environments create social institutions that are liberal, democratic, and self-governing and therefore endorse the policy of personal responsibility. This policy states: All school members, students included, are fallible authorities who should be personally responsible for determining their own school activities and many policies that govern a school. Schools which incorporate this policy can interchangeably be referred to as personal responsibility, self-governing, or Summerhill style schools. In providing an historical and philosophical understanding of Summerhill style schools, Swartz suggests that these educational alternatives have intellectual roots in the ideas associated with Socrates as portrayed in Plato’s Apology. Specifically, in personal responsibility schools teachers are not viewed as authorities who attempt to transmit wisdom to their students. Rather, self-governing schools follow the Socratic tradition which claims that teachers can be viewed as fallible authorities who attempt to engage students in dialogues about questions of interest to students. The interpretation of Plato’s works used by Swartz can be found in Karl Popper’s The Open Society and Its Enemies. Swartz has also been significantly influenced by the educational writings of Bertrand Russell and Paul Goodman. Goodman’s Compulsory Miseducation makes it clear that schools which follow in the tradition of Summerhill compete with the educational programs that are an outgrowth of John Dewey’s writings. In summary, Swartz’s book aims to engage educators in dialogues that will lead to improved educational theories and practices.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".