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Record W1981926933 · doi:10.1080/0158037032000131565

Community education as citizen organising for democratic accountability

2003· article· en· W1981926933 on OpenAlexaff
Lee C. Ellis, Sue M. Scott

Bibliographic record

VenueStudies in Continuing Education · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicAdult and Continuing Education Topics
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAccountabilityDemocracyCommunity educationPublic administrationPolitical scienceSociologyPublic relationsPedagogyPolitics

Abstract

fetched live from OpenAlex

This article focuses on the role of adult education in community development initiatives that intentionally aim at more general and equitable power-sharing arrangements at local and regional levels. It argues that community-based learning is a necessary component of community development and the rejuvenation of democracy. In the new millennium, citizens participating in civil society need the vehicle of a city-wide broad-based organisation to act for the attainment of these goals. Adult education in North America was founded on citizen action—often around migrant issues: adequate shelter, jobs, English language acquisition, poverty, and urbanisation. Responses to common needs in the Mechanics Institutes, Citizens' Forums, and the Antigonish Movement are only a few examples of how citizen learning changed lifeworld conditions. In this unsettled and unsettling historical moment, as we move from late modernity or post-modernity to some version of a “new world order”, the potential contributions of critical adult education to the future well-being of a global civil society are becoming increasingly apparent. Identifying and assessing means of resistance to the escalating encroachments of international finance and administrative power into the domains of individual and community autonomy is one practical role for adult 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)0.019
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.101

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0090.043
Scholarly communication0.0150.010
Open science0.0010.013
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0100.001

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 head0.065
GPT teacher head0.447
Teacher spread0.383 · 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 designQualitative
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

Citations5
Published2003
Admission routes1
Has abstractyes

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