The Carnegie Project on the Education Doctorate: A Partnership of Universities and Schools Working to Improve the Education Doctorate and K-20 Schools
Bibliographic record
Abstract
Abstract Since its inception at Harvard in 1921, the Doctorate in Education (EdD) has been a degree fraught with confusion as to its purpose and distinction from the PhD. In response to this, the Carnegie Project on the Education Doctorate (CPED), a collaborative project consisting of 80+ schools of education located in the United States, Canada, and New Zealand were established to undertake a critical examination of the EdD and develop it into the degree of choice for educators who want to generate knowledge and scholarship about practice or related policies and steward the education profession. However, programmatic changes in higher education can bring both benefits and challenges (Levine, 2005). This chapter explains: the origins of the education doctorate; how CPED as a network of partners has changed the EdD; the use of bi-annual Convenings as spaces for this work; CPED’s three phases of membership that have built the network; CPED’s path forward.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.007 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.020 | 0.003 |
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".