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Record W2038634373 · doi:10.1080/02255189.2003.9668898

Issues of Participation in a University-NGO, North-South Partnership: Internationalizing a CED Program

2003· article· en· W2038634373 on OpenAlexaffvenueabout
John Brohman, Irene Gannitsos, Mark Roseland

Bibliographic record

VenueCanadian Journal of Development Studies/Revue canadienne d études du développement · 2003
Typearticle
Languageen
FieldDecision Sciences
TopicEvaluation and Performance Assessment
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsGeneral partnershipPolitical sciencePublic relationsPublic administrationGovernment (linguistics)Context (archaeology)Work (physics)Economic growthSociologyEngineeringGeographyEconomics

Abstract

fetched live from OpenAlex

The increasing collaboration of universities with outside organizations in international development work has been accompanied by a number of issues and challenges, particularly in the critical area of participation and partnership. Some of these challenges are common to collaborative North-South development initiatives in general (for example, logistical difficulties, cultural differences, unequal power relations), while others are rooted in the particular values, structures, and regulations of universities and their partners (for example, systems of career advancement, grant recognition, disciplinary fragmentation, government-mandated regulations). These issues are addressed within the context of a CIDA/UPCD project to create a CED program in Mexico, involving a partnership between a Canadian public university (SFU), a Mexican private university (ITESM), and a Mexican NGO (CEDAC) oriented toward community development and poverty alleviation. Analysis and policy recommendations focus on the following issues: the need for (government) finders to encourage a more truly participatory approach to development by assuming a more flexible, less formulaic stance toward use of, and control over, financial resources between Canadian and overseas partners; and the need for universities to match their rhetoric concerning internationalization with concrete measures to add incentives and remove disincentives to the participation of academic programs and faculty in practical development initiatives.

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)0.004
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 score0.657
Threshold uncertainty score0.835

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.255
GPT teacher head0.414
Teacher spread0.160 · 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

Citations4
Published2003
Admission routes3
Has abstractyes

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