MétaCan
Menu
Back to cohort
Record W4255193367 · doi:10.32920/ryerson.14638209

Third Sector Restructuring and the New Contracting Regime: The Case of Immigrant Serving Agencies in Ontario

2021· preprint· en· W4255193367 on OpenAlexfundaboutno aff
Ted Richmond, John Shields

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicNonprofit Sector and Volunteering
Canadian institutionsnot available
FundersLaidlaw Foundation
KeywordsRestructuringPublic sectorAccountabilityImmigrationWork (physics)Service delivery frameworkBusinessService (business)Diversity (politics)Private sectorPublic servicePublic administrationVoluntary sectorPublic relationsEconomic growthPolitical scienceEconomicsMarketingEconomyFinanceEngineering

Abstract

fetched live from OpenAlex

Many are aware of declining capacity in the NGO sector with respect to advocacy and community development, but to date there has been relatively little analysis of the causes and consequences of this alarming trend. As this paper will demonstrate, however, much more is at work in the service providing sector than simple “overload” due to expansion of service demands beyond available funding. We will document and analyse the ways that the NGO service sector in Canada, and with Ontario based immigrant serving agencies in particular, are being deliberately restructured through the shift from “core” to “program” funding, the de legitimization of community development work as a fundable service, and the imposition of complex and burdensome accountability schemes disguised as evaluation measures. We will also examine the consequences of this restructuring in terms of growing monopolisation within the sector and the consequent reduction of diversity of service alternatives, as well as reduced capacity for public education and community development. The paper will explore the paradox inherent in the fact that such restructuring is being imposed without public debate in the name of the public good, and propose potential solutions related to this crucial issue of Canadian public policy. As essential background to the analysis we will provide an overview of the growing and changing role of the “third sector” as the preferred delivery agent for human services within a downsized and globalized economy. <div>Keywords: CVSS, Centre for Voluntary Sector Studies, Working Paper Series, TRSM, Ted Rogers School of Management </div>

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.079
Threshold uncertainty score0.484

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 science0.0000.001
Research integrity0.0000.001
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 head0.035
GPT teacher head0.284
Teacher spread0.250 · 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

Citations20
Published2021
Admission routes2
Has abstractyes

Explore more

Same topicNonprofit Sector and VolunteeringFrench-language works237,207