Allied Systems: Data governance challenges and the opioid crisis
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
This teaching case based on real people and events describe a critical decision point during the nascent stage of entrepreneurial venture called Allied Systems Integration Solutions in May 2019. This data governance case explores the challenges with centralizing client data in an effort to help health practitioners cope with the opioid use crisis. Readers are asked to put themselves into the shoes of the protagonists who must make difficult operational decisions related to these data governance and behaviour management questions. This case is derived from participant observation of eight entrepreneurial mentoring sessions with the protagonist entrepreneurs. Detailed notes of participant observation sessions were maintained and qualitative data were analysed for the purpose of creating this business case. This case is intended for upper year undergraduate, or MBA courses. In particular, it should be used in curricula exploring the complexities of real-world data governance decisions, managing the trade-offs between operational efficiencies and data protection. This case would be most suited to courses in Management Information Systems, Database Management and Operations Management.
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 | 0.001 | 0.003 |
| 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 | 0.005 |
| Open science | 0.001 | 0.001 |
| 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