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Record W4225968216 · doi:10.1080/15575330.2022.2059689

Embedding rural capital? Community investment funds in Canada and their implications for rural communities

2022· article· en· W4225968216 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCommunity Development · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCommunity Development and Social Impact
Canadian institutionsUniversity of Guelph
FundersOntario Agri-Food Innovation Alliance
KeywordsInvestment (military)BusinessRural economicsRural communitySocial capitalCapital (architecture)FinanceEconomic growthRural areaRural developmentEconomicsGeographyPolitical sciencePolitics

Abstract

fetched live from OpenAlex

Canada’s rural areas face economic challenges due to globalization and urbanization. These trends lead to wealth being less “embedded” in place as citizens have fewer geographic constraints and rely more on intangible resources for livelihood. To counter these effects, some Canadian provinces allow the creation of Community Investment Funds, which sell business equity shares to residents. Many such provinces also offer tax incentives to spur investments, and some incentive programs have generated attention, but the potential and impact of these programs is difficult to determine. We presents results from a study of Community Investment Fund programs, including a document review and interviews with key informants from across Canada. By assessing program impacts and qualities, we find that these programs positively impact rural economic and community development but require provincial resources to encourage participation and understanding. Further expansion and resourcing of these program could create positive impacts for embedding capital in rural places, facilitating rural prosperity.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.052
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0050.000
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0000.002
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 head0.081
GPT teacher head0.256
Teacher spread0.174 · 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