Bibliographic record
Abstract
This paper has two main foci: (1) the history of curriculum design, and (2) implications from the new sciences of chaos and complexity for the development of new forms of curriculum design and teaching implementation. Regarding the first focus, the paper posits that there exist—to use Wittgenstein’s phrase—‘family resemblances’ between Peter Ramus’ 16th century curriculum design and that of Ralph Tyler in the 20th century. While this 400-year linkage is by no means linear, there are overlapping strands from Ramus to Comenius to the Puritans to colonial New England to Horace Mann to Ralph Tyler. What unites these strands, all belonging to the Protestant Methodization movement that swept across northern Europe into colonial America and the USA, is the concept of Method. Taylor’s ‘time and motion’ studies set the stage for Tyler’s Basic Principles of curriculum design—those starting with set goals and concluding with measured assessment. The second focus draws on the new sciences of chaos and complexity to develop a different sense of curriculum and instruction—open, dynamic, relational, creative, and systems oriented. The paper concludes with an integration of the rational/scientific with the aesthetic/ spiritual into a view of education and curriculum informed by complexity.
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 | 0.008 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.053 |
| Scholarly communication | 0.015 | 0.010 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.001 | 0.004 |
| 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".