Research in progress case study: Local Source Catering, Market & Bakery
Bibliographic record
Abstract
Local Source Catering, Market & Bakery is a Halifax-based business that is committed to food – where it comes from, how it is grown or raised, and how farmers are compensated for their work. Local Source partners with producers throughout the province to bring healthy, local food options to urban consumers. The philosophy underlying the business is to contribute to a vibrant economy, reduce the environmental impacts of transporting food, and to connect consumers to a culture of healthy, real food. The case study will employ interviews with key stakeholders, document analysis, and participant observation to collect data and develop a decision-making case intended for students in commerce classes such as Entrepreneurship Theory and Concepts, Strategic Management, Small Business Performance Improvement, and Family Business. The decision point that students may focus on will track the expansion and growth of Local Source by creating a systems level approach to map and coordinate regional food distribution. The Local Source Network will be both a software tool and management information system to support a coordinated distribution effort of local food within the regional food system. The proposed expansion aims to benefit farmers, consumers, the economy, the environment and the organization. Students may discuss the areas of potential benefit for the various stakeholders and also determine if the organization is in a position to commit to the proposed expansion and commit the resources necessary to grow the business.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 0.003 |
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 source (direct Gemma or distilled Codex), 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".