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Record W2806829071 · doi:10.7202/1070716ar

The Examination of the Decline of Philosophy of Education with Institutional Theory: A Focus on the Last Three Decades

2020· article· en· W2806829071 on OpenAlexaffvenueabout
Andrew D. Colgan

Bibliographic record

VenuePhilosophical Inquiry in Education · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsWestern University
Fundersnot available
KeywordsPhilosophy of educationContext (archaeology)CurriculumSociologyHigher educationRoot (linguistics)Education theoryPolitical scienceSocial sciencePedagogyEpistemologyLawHistoryPhilosophy

Abstract

fetched live from OpenAlex

Many symposia and special journal issues over the last several decades have been devoted to concerns over the decline of philosophy in teacher education programs. I pursued an answer for my doctoral project and found institutional explanations are rarely invoked in the “decline literature.” I have sketched here the theory, and have shown it to be equally applicable to the last several decades of this literature. I argue that institutional organizational theory (IOT) shows how teacher education institutions have changed over time in a way that ultimately rendered the environment less and less hospitable to philosophy of education curriculum and faculty. Particular attention is paid to the educational context of Ontario, Canada, but I also include the wider American and British decline literature. In the final pages I offer de-institutionalizing solutions that, if realized, could provide a new soil in which philosophy and other humanities fields could take root again in teacher preparation programs.

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 imitation

Not 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.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.161

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.006
Science and technology studies0.0060.037
Scholarly communication0.0130.016
Open science0.0010.007
Research integrity0.0060.012
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.081
GPT teacher head0.348
Teacher spread0.267 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations9
Published2020
Admission routes3
Has abstractyes

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