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philosophy for children as a form of spiritual education

2022· article· en· W4322582229 on OpenAlexaff
Olivier Michaud, Maughn Rollins gregory

Bibliographic record

Venuechildhood & philosophy · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicReligious Education and Schools
Canadian institutionsUniversité du Québec à Rimouski
Fundersnot available
KeywordsSpiritualityPresentation (obstetrics)Perspective (graphical)Meaning (existential)EpistemologySociologyPhilosophy of educationPsychologyPedagogyPhilosophyAestheticsHigher educationMedicineLawArtAlternative medicine

Abstract

fetched live from OpenAlex

In the last two decades, some authors in the philosophy for children movement have theorized that the community of philosophical inquiry can be a form of spiritual practice, of the care of the self, or a wisdom practice (De Marzio, 2009; Gregory, 2009, 2013, 2014;Gregory & Laverty, 2009). Yet, it is unclear if philosophy for children is, by itself, a form of spiritual education, or if it requires some sorts of modification to be one. And, if it is or can be a form of spiritual education, we can interrogate in what ways and to what extent is it one. It is these questions that this text aims to explore. To do so, we will first clarify the meaning of spiritual education through the presentation of two authors who have explicitly written on that topic. The first is Parker J. Palmer, who has developed a perspective on what it means to reclaim the spiritual roots of education, derived from his study and practice of Quaker spirituality. The second is Pierre Hadot, who has explored how the practice of philosophy in Western antiquity was a form of spiritual exercise. From our presentation of these two authors will emerge a particular perspective of what spiritual education means. In the last section of the text we will use this presentation to examine in what ways philosophy for children can be a form of spiritual education and if requires adaptations to be one.

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)0.001
metaresearch head score (Gemma)0.000
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 score0.412
Threshold uncertainty score0.975

Codex and Gemma teacher scores by category

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

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 head0.017
GPT teacher head0.307
Teacher spread0.291 · 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

Citations5
Published2022
Admission routes1
Has abstractyes

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