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Record W2559718133

Toward Global Citizenship: Internationalization of Adult Education in Canada and the US

2012· article· en· W2559718133 on OpenAlexaffvenueabout
Mary V. Alfred, Shibao Guo

Bibliographic record

VenueCanadian Journal for the Study of Adult Education · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsInternationalizationCONTESTGlobalizationCurriculumHigher educationCivil societyPolitical scienceCitizenshipGlobal citizenshipSociologyGlobal educationAdult educationEconomic growthPublic relationsPedagogyBusinessEconomicsLaw
DOInot available

Abstract

fetched live from OpenAlex

Zha (2003) argues that internationalization will become increasingly important in the higher education sector because academic and professional requirements for graduates increasingly reflect the demands of the globalization of societies, economy, and labor markets, and as a result, higher education must provide adequate preparation to meet these requirements. Similarly, Ramdas (1997) suggests that adult education is uniquely positioned to make an empowering intervention on behalf of the underprivileged in every society, and in order to do that, adult educators must internationalize the curricula in order to prepare global citizens to contest the negative impact of globalization.  To the end, the purpose of this study was to examine the extent to which adult education faculty and programs in Canada and the US were preparing global citizens as evidenced by the internationalization of research, curricular, and pedagogy. Data were collected through analyses of AERC and CASAE conference proceedings (1995-2010) and program offerings from Internet sites of selected adult education programs. The findings suggest that adult educators of higher education must make more purposeful attempts at the internationalization of research, curricula, and pedagogy that would highlight and contest the hegemonizing effects of globalization on individuals and societies and work to prepare graduates for responsible global citizenship in a civil society.

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)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.214
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.020
GPT teacher head0.322
Teacher spread0.302 · 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 designObservational
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

Citations3
Published2012
Admission routes3
Has abstractyes

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