Lessons in operationalizing social finance: the case of Vancouver City Savings Credit Union
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.
Bibliographic record
Abstract
With $16.2 billion of assets the Vancouver City Savings Credit Union (Vancity) has the largest asset base of any member of the Global Alliance on Banking and Values, a global association of ethical banks, and also has the largest asset base of Canada's credit unions. This article analyses the social financing Vancity conducts and the disclosure of the social impact of the products and services they offer. The results suggest that they are on the path to realizing a 100% social finance portfolio but that they have not arrived there yet. In particular, their personal retail products and services still offer room for improvement. Furthermore, their reporting lacks an indicator based on comparative figures that would allow stakeholders to compare the impact of Vancity's products and services with those of other financial institutions.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it