Modeling The Performance Evaluation Of Local Investment And Economic Development Corporations
Bibliographic record
Abstract
The purpose of this research is to propose an overall performance evaluation model for local development companies that takes into account social, financial and operational aspects. While there are many ways to evaluate business performance, few make it possible to take into account all the objectives of the organization. After reviewing the literature on the topic, we developed a model that uses a surface measurement to classify organizations. We then applied this model to the Société locale d’investissement et de développement d’emploi du Québec (SOLIDEQ), which itself comprises 84 SOLIDEs. The mission of these organizations is to provide venture capital to regional companies. As an arm of a labor-sponsored venture capital corporation, the SOLIDEs must obtain a return on investment commensurate with the risk incurred, achieve local development objectives such as job creation and maintenance, and lastly, manage operations wisely given that the management committee consists of volunteers. The study results show that our model can be effectively used to measure the performance of each SOLIDE and to create a classification that takes into account all their objectives.
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How this classification was reachedexpand
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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".