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Record W2998216278 · doi:10.7202/1071434ar

Toward a Bold Agenda for Moral Education

2020· article· en· W2998216278 on OpenAlexafffundvenue
Ann Chinnery

Bibliographic record

VenuePhilosophical Inquiry in Education · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicValues and Moral Education
Canadian institutionsSimon Fraser University
FundersSimon Fraser University
KeywordsDevelopmentalismMoral disengagementMoralityMoral developmentMoral authoritySocial cognitive theory of moralityMoral psychologyEnvironmental ethicsMoral educationSociologyPoliticsMoral reasoningGood moral characterMoral characterEpistemologyLawPolitical sciencePedagogyPhilosophy

Abstract

fetched live from OpenAlex

In his 2006 essay, “Moral Education’s Modest Agenda,” Robin Barrow argues for a clearly bounded conception of morality; he presents the moral domain as concerned with moral principles, and moral education as the cultivation of moral understanding. Barrow rejects behaviourism, character education, values clarification, developmentalism, and what he calls “the insidious influence of political and moral correctness” as practices and ideas that are irrelevant and inappropriate for moral education. While I share some of Barrow’s concerns about some of these approaches, I believe he over-restricts the scope of legitimately moral concerns and what educators ought to do in the name of moral education. In this paper, I make a case for a broader and bolder agenda for moral education, putting the question of what constitutes a human life (which Barrow takes to be a non-moral question) at the very heart of morality and moral education.

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)0.025
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.025
Threshold uncertainty score0.132

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0250.024
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0110.056
Scholarly communication0.0130.022
Open science0.0020.013
Research integrity0.0170.046
Insufficient payload (model declined to judge)0.0050.002

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 head0.342
GPT teacher head0.453
Teacher spread0.112 · 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 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

Citations6
Published2020
Admission routes3
Has abstractyes

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