Articles Exploring the Intellectual Foundation of Technology Education: From Condorcet to Dewey
Bibliographic record
Abstract
al advancement as a benchmark of civilizational progress---an ideological belief that continues to be implicated within non-critical approaches to technology education. Put another way, I see a problematic (and limiting) ____________________________ Randy Chafy is a Business Maturity Consultant for Northern Telecom, Ottawa, Ontario. He received his Ph.D. from Michigan Technological University in 1996. -7conceptual linkage between technology, education, civilization-building, industrial growth, and human purpose. Education, Technology, and Condorcet Throughout the Middle Ages, the Renaissance, and the Reformation, nearly all technological innovations took place on an individual craft basis; knowledge was transferred from generation to generation by apprenticeship. Significant technological advancements, such as the clock, the horizontal axle windmill, gigantic Gothic cathedrals, the printing press, and better guns and ships, were being developed outside of the universities. But these
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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 | 0.003 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.004 | 0.016 |
| Scholarly communication | 0.012 | 0.013 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.011 | 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".