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Record W6908424178 · doi:10.25946/13436450

A Holistic approach to accountability: Measuring outcomes of economic development funding in northern Canadian Aboriginal communities

2017· dissertation· en· W6908424178 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAcquire (CQUniversity) · 2017
Typedissertation
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsAccountabilityGovernment (linguistics)ReciprocalProcess (computing)Social accounting

Abstract

fetched live from OpenAlex

Government funding targeted at the economic development of remote Aboriginal communities in northern Canada has historically taken a narrow view of accountability. While traditional financial reporting obligations invariably fall on recipients of government funding, this process gives little thought to broader notions of reciprocal accountability and the views of both providers and recipients of funding. The present study used a combination of constructivist Grounded Theory and Aboriginal methodologies in interviews primarily with funding recipients and providers to draw on participants’ (n=34) local knowledge of the socio-cultural factors influencing economic development in Fort Liard, Northwest Territories, Canada. The results of this study demonstrate accountability processes based solely on financial reporting do not adequately reflect the complex social, cultural, economic and environmental outcomes that emerge from government-funded projects. A holistic approach to economic development accountability is needed to properly assess and measure the impacts of government funding in remote Aboriginal communities.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.434
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0050.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.064
GPT teacher head0.326
Teacher spread0.262 · 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