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Record W4387258944 · doi:10.3390/socsci12100549

Situating the Nonprofit Industrial Complex

2023· article· en· W4387258944 on OpenAlexaffabout
Tyson Singh Kelsall, Jake Seaby Palmour, Rory Marck, Alex Withers, Nicole Luongo, Kahlied Salem, Cassie Sutherland, Jasmine Veark, Lyana Patrick, Aaron O. Bailey, Jade Boyd, Q. Lawrence, Mathew Fleury, Alya Govorchin, Nathan Crompton, Chris Vance, Blake Edwards, Anmol Swaich, Amber Kelsall, Meenakshi Mannoe, Portia Larlee, Jenn McDermid

Bibliographic record

VenueSocial Sciences · 2023
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsYork UniversityBritish Columbia Centre on Substance UseUniversity of British ColumbiaSimon Fraser University
Fundersnot available
KeywordsAccountabilityPublic administrationFraming (construction)Private sectorBureaucracyPolitical scienceCorporate governanceSociologyEconomic growthPoliticsEconomicsLawManagement

Abstract

fetched live from OpenAlex

This article centers on the nonprofit landscape in Vancouver, Canada, a city that occupies the territories of the xʷməθkʷəy̓əm (Musqueam), sḵwx̱wú7mesh (Squamish), and səlilwətaɬ (Tsleil-Waututh) nations, which have never been ceded to the colonial occupation of Canada. Vancouver has a competitive nonprofit field, with an estimated 1600+ nonprofits operating within city limits. This descriptive review starts by defining what a nonprofit industrial complex (NPIC) is, then outlines an abbreviated history of the nonprofit sector on the aforementioned lands. The article then explores issues related to colonialism, anti-poor legislation, neoliberal governance, the fusing of the public and private sectors, and the bureaucratization of social movements and care work as mechanisms to uphold the status quo social order and organization of power. Focusing on under-examined issues related to the business imperatives of nonprofit organizations in the sectors of housing, health and social services, community policing, and research, this work challenges the positive default framing of nonprofits and charities. Instead, we contend that Vancouver’s NPIC allows the government and the wealthy to shirk responsibility for deepening health and social inequities, while shaping nonprofits’ revenue-generating objectives and weakening their accountability to the community.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.374
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0090.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.523
GPT teacher head0.545
Teacher spread0.022 · 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.

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

Citations10
Published2023
Admission routes2
Has abstractyes

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