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Record W2884454508 · doi:10.7202/1070714ar

Learning to be Moved: The Modes of Democratic Responsiveness

2020· article· en· W2884454508 on OpenAlexvenueno aff
Bryan R. Warnick, Douglas W. Yacek, Shannon Robinson

Bibliographic record

VenuePhilosophical Inquiry in Education · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsnot available
Fundersnot available
KeywordsAcquiescenceDemocracySuspectPoliticsSocial psychologyDominance (genetics)EpistemologySociologyNormativePsychologyPolitical scienceLawPhilosophyCriminology

Abstract

fetched live from OpenAlex

Being responsive to the experiences, ideas, and stories of others is an essential trait for democratic citizens. Responsiveness promotes the general welfare, it shows respect for others, and allows for what Tony Laden has called the social practice of reasoning. Political theorists have shown how responsiveness is a middle ground between dominance and acquiescence, where citizens show a willingness to be moved by those around them. Responsiveness is tested, though, when citizens interact with those who hold what are thought to be immoral or unjust beliefs. The key question: Is it possible to engage responsively with those who hold morally suspect beliefs, to be legitimately “moved” by those around us, without necessarily acquiescing to the moral problems? We argue that such engagement is both possible and desirable. There are at least five different ways to be moved by others in a productive, civic sense. We describe these modes, explain their moral depth, and give some examples. Civic educators should be aware of these modes and teach students how they can be manifest in democratic life.

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)0.004
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 score0.448
Threshold uncertainty score0.463

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.131
GPT teacher head0.402
Teacher spread0.271 · 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

Citations12
Published2020
Admission routes1
Has abstractyes

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