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Record W2014219654 · doi:10.1068/d0906

Enacting State Restructuring: NGOs as ‘Translation Mechanisms’

2009· article· en· W2014219654 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEnvironment and Planning D Society and Space · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicNonprofit Sector and Volunteering
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsRestructuringNeoliberalism (international relations)Agency (philosophy)Welfare stateState (computer science)Corporate governancePolitical scienceEveryday lifeSociologyWelfarePolitical economyPublic administrationPoliticsSocial scienceEconomicsManagementLaw

Abstract

fetched live from OpenAlex

In this paper we argue that nonprofit, nongovernmental organisations (NGOs) constitute crucial sites at which welfare state restructuring and neoliberalism are enacted and materialised in everyday life practices. This paper responds to recent calls from geographers to move to finer scales of analysis that enrich our understanding about the geographies of welfare state restructuring and neoliberalism. Our response is based on case-study research of NGOs that provide social services to migrants in Minneapolis-St Paul, USA, and Toronto, Canada. We draw on the concept of ‘translation’ to show the agency of NGOs in articulating macroscale programmes of governance into concrete regulations that govern the conduct of everyday life. The case studies demonstrate the usefulness of seeing NGOs as translation mechanisms to current debates about the role of NGOs amidst welfare state restructuring and the rise of neoliberalism.

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.

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)0.000
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 score0.540
Threshold uncertainty score0.521

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.266
Teacher spread0.245 · 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