Analysis of the management of segment 1 of cooperatives in the Cayambe canton and its regulations in the case of Ecuador
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
A comprehensive study was conducted on the Savings and Credit Cooperatives of segment 1 in the Cayambe Canton, Pichincha province. The objective of the study was to evaluate the competitiveness of these cooperatives through a detailed analysis of their financial information for the year 2023. The research was theoretically based and proposed strategies that could improve the financial services offered to its members.The methodology used included a financial analysis that examined key indicators, such as profitability, non-performing assets, total portfolio delinquency and liquidity, as well as an operational and global analysis of the figures for the third quarter of 2023.Data collection was carried out through surveys directed at the members of the Savings and Credit Cooperatives of segment 1 in the Cayambe Canton, complemented by interviews with representatives of the San Francisco Savings and Credit Cooperative and the Erco Savings and Credit Cooperative. These methods allowed for a more in-depth analysis of the competitiveness of these cooperatives.It was concluded that, in order to maintain a competitive advantage in a constantly evolving market, Savings and Credit Cooperatives in segment 1 in the Cayambe Canton must diversify their financial services offering, going beyond traditional savings and loans, and incorporating products such as insurance, investments and financial advice
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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