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Record W4381510884 · doi:10.4324/9781003447849-30

International Development Education

2023· book-chapter· en· W4381510884 on OpenAlexaboutno aff
Jill Zarestky, Maren Elfert, Daniel Schugurensky

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicTourism, Volunteerism, and Development
Canadian institutionsnot available
Fundersnot available
KeywordsDevelopment (topology)Engineering ethicsMathematics educationPsychologyEngineeringMathematics

Abstract

fetched live from OpenAlex

This chapter begins with a short historical account of adult and continuing education in the context of international development. International development education (IDE) is embedded in notions of international development; any effort to improve people’s lives arguably involves the acquisition of knowledge and skills. Adult education as an important tool of community development and social progress is rooted in late nineteenth-century and early twentieth-century initiatives like the Scandinavian Folk Schools and the Canadian Antigonish movement. Literacy has traditionally played a central role in IDE. Since the 1970s, lifelong learning has risen to prominence as a leading paradigm of educational policies and as the overarching framework for adult learning and education. Funding and delivery of adult education is diffuse and complex, involving a wide array of international organizations, aid agencies, philanthropic and religious organizations, nongovernmental organizations, and civil society organizations and cross-ministry collaborations.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.132
Threshold uncertainty score0.441

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0040.003
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1320.034

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 head0.033
GPT teacher head0.301
Teacher spread0.268 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2023
Admission routes1
Has abstractyes

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