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Record W4381192293 · doi:10.1111/edth.12577

Conceptualizing a Practical Discourse Survey Instrument for Assessing Communicative Agency and Rational Trust in Educational Policymaking

2023· article· en· W4381192293 on OpenAlexaff
Darron Kelly

Bibliographic record

VenueEducational Theory · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsRationalityAgency (philosophy)IntersubjectivitySociologySurvey data collectionEpistemologyPublic relationsPsychologyPolitical scienceSocial science

Abstract

fetched live from OpenAlex

Abstract How might a theory of communicative rationality be applied to policymaking to secure the morally justifiable administration of public education? In answer, Darron Kelly uses conceptual resources found in Habermasian practical discourse to outline development of a survey instrument. The survey is designed to measure constituent satisfaction with actual conditions of educational policymaking. To do this, the survey operationalizes and quantifies the epistemic conditions of inclusion, participation, truthfulness, and noncoercion. Once captured, analysis of these conditions in actual cases of policymaking further provides for assessment of the degree of communicative agency and rational trust experienced by educational constituents. The instrument, as such, offers a standard gauge of the higher‐level intersubjectivity of institutional communication in education — a necessary measure for constructing morally justifiable policies.

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)0.043
metaresearch head score (Gemma)0.085
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: Methods · Consensus signal: none
Teacher disagreement score0.043
Threshold uncertainty score0.227

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0430.085
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.003
Science and technology studies0.0010.006
Scholarly communication0.0040.005
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.197
GPT teacher head0.510
Teacher spread0.313 · 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
GenreMethods

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

Citations1
Published2023
Admission routes1
Has abstractyes

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