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Record W2277378602 · doi:10.1017/s1755773915000430

Does government funding depoliticize non-governmental organizations? Examining evidence from Europe

2016· article· en· W2277378602 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.

Bibliographic record

VenueEuropean Political Science Review · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicNonprofit Sector and Volunteering
Canadian institutionsConcordia University
FundersEuropean Commission
KeywordsTransparency (behavior)PoliticsGovernment (linguistics)Unintended consequencesPublic administrationWork (physics)Public economicsEuropean unionPolitical scienceBusinessPublic relationsEconomicsEconomic policyLaw

Abstract

fetched live from OpenAlex

Prior work suggests that government funding can encourage non-governmental organizations (NGOs) to engage in political advocacy and public policy. We challenge this finding and examine two theoretical explanations for the dampening effect of government funding on NGO lobbying. First, donors are known to discipline NGO activity via an implicit or explicit threat to withdraw funding should the organization become too radical or political. Second, NGOs with more radical political agendas are less willing to seek or accept government funding for fear this will limit or delegitimize their activities. Using data from the European Union’s Transparency Register, we find that the share of government funding in NGO budgets is negatively associated with lobbying expenditure. This effect is statistically significant and substantial, which provides a reason for concern about NGO resource dependence. Even when governments are motivated by honorable intentions, their financial assistance has the (unintended) effect of dampening NGOs’ political activity.

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)0.004
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.538
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.052
GPT teacher head0.334
Teacher spread0.282 · 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