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Record W2002402862 · doi:10.1080/07294360220144114

Responding to the Field and to the Academy: Ontario's evolving PhD

2002· article· en· W2002402862 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueHigher Education Research & Development · 2002
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCommunity Development and Social Impact
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsVariety (cybernetics)Professional developmentSociologyPoliticsField (mathematics)Political scienceHigher educationPedagogyEngineering ethicsEngineering

Abstract

fetched live from OpenAlex

The knowledge economy has increased the demands on our university systems to create innovative, flexible doctoral programs. Some countries have responded to this challenge by developing professional doctorates. In the province of Ontario (Canada), the trend appears to be to re-invent the traditional PhD rather than to develop professional doctorates. This paper traces historical, political, economic and social reasons for this trend. It focuses, in particular, on the case of the longstanding Doctor of Education (EdD) at the Ontario Institute for Studies in Education of the University of Toronto (OISE/UT). Enrolment in the EdD program has dropped significantly in the past few years. Drawing on a variety of sources including evaluation data from PhD and EdD students, this paper examines reasons for this development. The authors conclude that the same climate that is fostering professional doctorates is also changing the landscape for PhD education, making the degree more responsive to the needs of educational stakeholders.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.321
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.002

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.

Opus teacher head0.167
GPT teacher head0.376
Teacher spread0.209 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it