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Record W4285504413 · doi:10.46707/jps.9ii.148

The Community of Philosophical Inquiry as a place of agon: Exploring children’s experiences of competitiveness in philosophical dialogue

2022· article· en· W4285504413 on OpenAlexaboutno aff
Baptiste Roucau

Bibliographic record

VenueJournal of Philosophy in Schools · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsnot available
Fundersnot available
KeywordsDisappointmentSociologyRelation (database)EpistemologyQualitative researchSocial psychologyPsychologySocial sciencePhilosophy

Abstract

fetched live from OpenAlex

This paper explores an important yet overlooked aspect of Philosophy for Children (P4C): how children experience competitiveness in the Community of Philosophical Inquiry (CPI). It describes a qualitative case study conducted with 76 young people (aged 8-17) involved in CPI dialogues in formal and informal educational settings in Canada and New Zealand. Interviews and video observation revealed that participants often experienced dialogues as competitive exchanges in which ‘winning’ consisted of convincing others, while giving in to others’ opinions was associated with defeat and disappointment. Participants recognised the potential dangers of competitiveness, notably the epistemic risk of excluding alternative perspectives and the social risk of damaging their relationships. Participants often successfully managed competitive dynamics by remaining engaged and open-minded. The last part of the paper discusses these findings in relation to theoretical work in P4C, notably Kennedy’s (1997) notion of the CPI as a ‘place of agon.’ Further, it argues that we should rethink the role of competitiveness in the CPI while remaining mindful of its risks, notably by considering its potential as a motivational drive and its place within a larger process of inquiry.

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)0.006
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.106
Threshold uncertainty score0.688

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.110
GPT teacher head0.360
Teacher spread0.250 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2022
Admission routes1
Has abstractyes

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