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Record W4416077153 · doi:10.4324/9781003660736-2

Analysis and Anomalies in Philosophy of Education

2025· book-chapter· en· W4416077153 on OpenAlexaboutno aff
Jonas F. Soltis

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldArts and Humanities
TopicEducation, Philosophy, and Society
Canadian institutionsnot available
Fundersnot available
KeywordsSchema (genetic algorithms)Philosophy of educationField (mathematics)Higher educationConceptual framework

Abstract

fetched live from OpenAlex

Vol. 3, No. 2, pp. 37–50, 1971 Analysis and Anomalies in Philosophy of Education Jonas F. Soltis In this article, based on a conference paper presented in 1970 at the University of Toronto Ontario Institute for Studies in Education, Jonas Soltis examines philosophy of education, and in particular its turn to conceptual analysis, from a Kuhnian perspective. Historically, Soltis considers as a major anomaly in the field a rupture, which took place between philosophers of education focused on discerning the best aims and methods of education and those, such as R. S. (Richard) Peters, who advocated an analytic approach precluding these sorts of questions with others, such as whether education should have an aim. As Soltis recounts, this so-called overthrow of the once-dominant inquiry-based paradigm was a source of crisis in the 1950s and 1960s, as seen in the bitter contestation over the establishment of a special interest group for analysis at the United States Philosophy of Education Society. Over time, analysis became “normal,” less vulnerable to critique and demands for justification, through a gradual paradigm shift. Next, Soltis considers what might come after analytic philosophy. As he notes, the paradigm faces internal and external challenges. In terms of the former, Soltis notes that analytic schema seem to have a static quality, which disregards in noteworthy ways the dynamic aspects of human learning and experience. Regarding the latter, he notes that questions relating to values and important social issues problems are in some respects resistant to an analytic treatment. This paper provides an interesting snapshot into historical thinking about philosophy of education and the role of analysis within it in the 1970s. As such it builds foundation for later and ongoing examinations of the analytic tradition within the field.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.303
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.029
GPT teacher head0.252
Teacher spread0.223 · 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.

Study designTheoretical or conceptual
Domainnot available
GenreOther

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

Citations0
Published2025
Admission routes1
Has abstractyes

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