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Record W2982273408 · doi:10.1080/10841806.2019.1678354

Creating Space for an Alternative Discourse in the Context of Neoliberal Hegemony: The Case of a Long-Standing NGO

2019· article· en· W2982273408 on OpenAlexaff
Anne-Marie Duval, Yves Gendron

Bibliographic record

VenueAdministrative Theory & Praxis · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicNonprofit Sector and Volunteering
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHegemonySolidarityGrassrootsContext (archaeology)Public relationsSociologyDominance (genetics)Political sciencePower (physics)CredibilityPublic administrationPoliticsLaw

Abstract

fetched live from OpenAlex

This article contributes to a better understanding of how to create space for an alternative discourse, despite increased dominance of neoliberal ideas (particularly as sustained by donor control). In a detailed case study, we show how an international non-governmental organization (NGO) endeavors to build a reputation of expertise centered on the dynamic adaptation of the market and participatory (i.e., grassroots, solidarity-focused) discourses. By producing and disseminating what it hopes to be convincing hybrid artifacts (e.g., in the form of guidelines and articles) that exhibit this expertise, the NGO aims to establish the credibility needed for hybrid artifacts (and the alternative participatory discourse that they carry) to be endorsed, solicited and eventually, adopted by donors and other actors in international development. By highlighting strategic behavior outside the typical confines of funding transactions, our findings shift the focus from shorter-term to longer-term strategizing. Ultimately, our case study illustrates how an organization, against the power of control over financial resources, endeavors to cultivate a counter discourse through the “soft” power of expertise.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.618
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.053
GPT teacher head0.400
Teacher spread0.347 · 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 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

Citations9
Published2019
Admission routes1
Has abstractyes

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