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From Social Learning to Norm Validation

2018· book-chapter· en· W2799678111 on OpenAlexaff
Donovan Plumb

Bibliographic record

VenueAdvances in standardization research · 2018
Typebook-chapter
Languageen
FieldSocial Sciences
TopicCritical Realism in Sociology
Canadian institutionsMount Saint Vincent University
Fundersnot available
KeywordsLifeworldEmancipationCritical theoryNorm (philosophy)NormativeEpistemologySociologyCommunicative actionSocial learningPedagogySocial sciencePolitical sciencePoliticsPhilosophy

Abstract

fetched live from OpenAlex

This chapter asserts that the emergent ontology of critical realism especially as mobilized by sociologist Dave Elder-Vass in his discussion of norm circles provides a powerful theoretical basis for supporting the emancipatory aspirations of critical adult education. According to Michael Welton, because of its capacity to support social learning, critical adult education has a pivotal role to play in human emancipation. Drawing on Jürgen Habermas's critical theory of communicative action, Michael Welton argues that critical adult education's deepest contemporary purpose is to foster social learning that can enable people to resist the destructive colonization of lifeworld contexts. This chapter argues that, while Habermas provides important insight into the normative foundations of critical adult education, his theory of communicative action cannot alone illuminate the ways human learning shapes and is shaped by lifeworld contexts. Elder-Vass's exploration of norm-circles helps identify weaknesses in the concept of “social learning” and identify how, in addition to supporting individual learning, emancipatory adult educators can also support the distinctive emergent power of norm-circles to form and enforce epistemic, discursive, ethical, and practical norms.

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)0.013
metaresearch head score (Gemma)0.018
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 score0.013
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.018
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0030.044
Scholarly communication0.0080.010
Open science0.0020.005
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0050.001

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 head0.097
GPT teacher head0.519
Teacher spread0.422 · 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".

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Citations0
Published2018
Admission routes1
Has abstractyes

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