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Record W2195992352 · doi:10.7202/1070366ar

Philosophical Questions about Teaching Philosophy: What's at Stake in High School Philosophy Education?

2020· article· en· W2195992352 on OpenAlexaffvenueabout
Trevor Norris

Bibliographic record

VenuePhilosophical Inquiry in Education · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsBrock University
Fundersnot available
KeywordsPhilosophy educationPhilosophy of Education Society of Great BritainPhilosophy of educationPhilosophy of computer scienceCurriculumWestern philosophyPhilosophy of mathematics educationSocial philosophySociologyPhilosophy of sportSubject (documents)Higher educationEpistemologyPedagogySocial sciencePhilosophyPolitical scienceLibrary scienceLawComputer science

Abstract

fetched live from OpenAlex

What is at stake in high school philosophy education, and why? Why is it a good idea to teach philosophy at this level? This essay seeks to address some issues that arose in revising the Ontario grade 12 philosophy curriculum documents, significant insights from philosophy teacher education, and some early results of recent research funded by the federal Social Sciences and Humanities Research Council (SSHRC) in Canada. These three topics include curricular disputes, stories of transformation from philosophy student to philosophy teacher, and preliminary research findings. All underscore the importance and complexity of philosophy education, as well as its challenges and benefits, including the cross-curricular benefits philosophy education imparts to the study of other subject areas. Collectively, these serve as a springboard for asking some larger and broader philosophical questions about the teaching and learning of philosophy, and they demonstrate that this is a promising new area of study and of teaching for philosophers of education. I will raise some questions about philosophy that will help frame the next stage in the SSHRC research into the teaching and learning of philosophy in Ontario, and which I contend are new and fundamental questions to ask about philosophy itself.

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 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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.672
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.079
GPT teacher head0.381
Teacher spread0.302 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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

Citations8
Published2020
Admission routes3
Has abstractyes

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