Design and development of a decision support platform for the evaluation of CSR performance measurement for manufacturing SMEs
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
Corporate Social Responsibility (CSR) involves companies considering their activities' economic, environmental, and social impacts. Implementing CSR processes, including managing numerous standards and performance indices, is particularly challenging for Small and Medium Enterprises (SMEs) due to resource constraints. To address this, we developed an IT platform for self-diagnosis and measurement of CSR performance in manufacturing SMEs. This platform allows managers to evaluate the maturity of their company's CSR and to define improvement strategies by highlighting strengths and weaknesses. The system was designed using Unified Modeling Language (UML) modeling and the ICONIX method, with Dart and Flutter for the front end, Python's Django framework for the back end, and MySQL for database management. The SME-specific CSR performance measurement grid, derived from previous work, structured the platform's forms, ensuring comprehensive performance evaluation and alignment with industry standards.
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.
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 | 0.008 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 it