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Record W7005934585

Small Charities: An Analysis of Change in 
\n Fundraising Activities

2012· report· en· W7005934585 on OpenAlexfundaboutno aff

Bibliographic record

VenueCarleton University's Institutional Repository (MacOdrum Library, Carleton University) · 2012
Typereport
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCell Image Analysis Techniques
Canadian institutionsnot available
FundersMount Royal University
KeywordsRevenueAgency (philosophy)Funding AgencyData collectionFund raisingFoundation (evidence)Internal revenueStatistical analysis
DOInot available

Abstract

fetched live from OpenAlex

This research project is an examination of change in the fundraising activities employed by small Canadian registered charities (defined as registered charities with total annual revenues under $100,000) over the ten year period from 2000 to 2009. Utilizing data from the Registered Charity Information Returns (T3010) filed by charities with the Canada Revenue Agency (CRA), the study provides a profile of fundraising methods used, examining trends in types and number of fundraising methods utilized over the ten year period. We analyze variation in terms of size, designation type (charitable organization/public foundation /private foundation), location (rural/urban), charitable activity (welfare, religion, education, health, benefit to the community, other), orientation (religious/secular), and geographic region (each province and territory, western Canada/central Canada/Maritimes/territories).

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.868
Threshold uncertainty score0.265

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.007
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.045
GPT teacher head0.245
Teacher spread0.199 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2012
Admission routes2
Has abstractyes

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