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Record W2194735376 · doi:10.7202/1070363ar

Taken Out of Context: Defending Civic Education From the Situationist Critique

2020· article· en· W2194735376 on OpenAlexvenueno aff
Sigal Ben‐Porath, Gideon Dishon

Bibliographic record

VenuePhilosophical Inquiry in Education · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicPsychology of Social Influence
Canadian institutionsnot available
Fundersnot available
KeywordsSituationismDemocracySociologyCivic virtueGood citizenshipNature versus nurtureContext (archaeology)Environmental ethicsCharacter educationEpistemologyPolitical scienceSocial psychologyLawCharacter (mathematics)PoliticsPsychology

Abstract

fetched live from OpenAlex

Situationists have suggested that educational efforts to improve character and instill virtues should be abandoned, as individuals’ behavior is predicted by contexts and situations rather than by character traits. More recently it has been suggested that civic education and especially the effort to cultivate civic virtues are ineffective for similar reasons and should be replaced by the introduction of desirable social norms and institutions. After surveying the debate on this topic in the first part of the essay, we suggest that in fact virtues should not be judged as existing within one person and absent from another based on their behavior in a single instance. Rather, virtues should be understood as composite and probabilistic and therefore strengthening them is a valuable endeavor. In considering civic virtues specifically we argue that the social and public nature of their expression make schools excellent contexts for cultivating and practicing democratic civic virtues. Even the best institutional structures of a well-functioning democratic society rely on the compliance of virtuous citizens, and the situationist preference for desirable social norms is implicitly predicated on virtuous citizens to institute and follow those norms. Moreover, civic education in a democracy strives to cultivate more than compliance with norms of conduct. It aspires to nurture youth who see themselves as responsible to, and capable of shaping the norms of the society in which they live. We thus incorporate some of the insights from situationism into a revamped view of civic 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 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)0.002
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 score0.429
Threshold uncertainty score0.464

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.137
GPT teacher head0.431
Teacher spread0.294 · 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

Citations20
Published2020
Admission routes1
Has abstractyes

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