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Record W4415586554 · doi:10.21083/crrf.v29i1.7746

Place-Based Endowmentsin the Periphery: Changing theDynamics ofRural Planning

2025· article· W4415586554 on OpenAlexaffabout
Ryan Gibson

Bibliographic record

VenueProceedings of the Canadian Rural Revitalization Foundation · 2025
Typearticle
Language
FieldAgricultural and Biological Sciences
TopicRural development and sustainability
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsResource (disambiguation)Rural areaThe InternetNatural resourceDynamics (music)Community organizationSeed money

Abstract

fetched live from OpenAlex

Peripheral communities are sites of wealth, fueling the Canadian economy through natural resource industries since confederation. Although the periphery is a source of wealth, over the past thirty years this wealth has largely been redirected out of rural regions to larger urban centres. These domestic issues are exacerbated by processes of globalization, which facilitate the hyper-mobility of finance. Finance is no longer tied to place. Finance has become ‘disembedded’ with increasing interconnections and advancements in Internet technologies, leading to emerging patterns of uneven development across the Canadian periphery. A counterbalance to these trends is the emergence of philanthropic organizations in Canada that have been exploring and implementing place-based collective endowments as a response to re-embedding finance in local areas. Under the federal Charities Act, philanthropic organizations (such as community foundations and trusts) can collect money to invest in place-based collective endowments. The funds collected are under the guidance of local actors, who also prioritize how to spend interest generated from the endowment. These philanthropic organizations organize around place and people’s connection to place. These organizations are starting to understand their potential impact on the local development. Yet little research has been conducted on philanthropy in rural Canada. This poster provides an overview to a new three year SSHRC funded research initiative examining the role of place-based endowments in rural Canada. The poster shares insights gleaned from the research to date, discusses future directions for the initiative, and identifies ways for people to become engaged with the research.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience 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 score0.150
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0020.000
Scholarly communication0.0010.001
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 head0.011
GPT teacher head0.230
Teacher spread0.219 · 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 designObservational
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

Citations0
Published2025
Admission routes2
Has abstractyes

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Same venueProceedings of the Canadian Rural Revitalization FoundationSame topicRural development and sustainabilityFrench-language works237,207