Farmers in Padilla: A Case Study of Engagement Among a Small Community in Bolivia, the City of Corner Brook, and International Business Students at Grenfell Campus, Memorial University \n
Bibliographic record
Abstract
This case study highlights a collaborative international project that involved farmers in Padilla, Bolivia, the City of Corner Brook, and international business students at Grenfell Campus. In 2011 the City of Corner Brook was selected by the Federation of Canadian Municipalities (FCM) to participate in their Municipal Partners in Economic Development (MPED) program. The City of Corner Brook was matched with the municipality of Padilla, Bolivia. Padilla is a small rural community located in the southeast part of the country. It is a farming community that was established in 1583 and its population is made up of aboriginal descent. The project’s aim is to seek opportunities that would contribute to local economic development of the area. Representatives of the City of Corner Brook made their first visit to Padilla in September, 2011. Representatives of the town of Padilla visited Corner Brook in the winter of 2012, followed by a second visit from City of Corner Brook officials to Padilla in the summer of 2012. One entrepreneurial project that was identified was to explore the export market for peanuts that are grown in the area. As part of their international business course requirements, a group of students became involved in the fall of 2012 to assess the export opportunities.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.024 | 0.009 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".