Participatory irrigation research and demonstration in Canada
Bibliographic record
Abstract
The importance of producer and public participation in research, demonstration and extension is becoming better recognized on a world-wide basis. Currently in Agriculture & Agri-Food Canada, much emphasis is being placed on identification, recognition and satisfaction of client needs. Partnerships and cooperative ventures with the private sector and other government agencies are being encouraged and pursued. The Prairie Farm Rehabilitation Administration (PFRA), as part of Agriculture & Agri-Food Canada, has been a leader in encouraging these partnerships, particularly as they relate to irrigation research and demonstration and their effect on rural development and environmental sustainability. Today, in co-operation with private industry and the provincial government, PFRA successfully operates research and demonstration centres at Outlook, Saskatchewan (Canada-Saskatchewan Irrigation Diversification Centre) and Carberry, Manitoba (Manitoba Crop Diversification Centre). The partnership at the Canada-Saskatchewan Irrigation Diversification Centre was finalized in July, 1998. In view of the newly formed partnership, a results-based strategic planning session was held to determine the future direction of the Centre. Participants in the workshop included a broad range of producers, industry, university and government stakeholders. The workshop was designed to achieve a consensus on a vision for the role of the Centre, the obstacles which may prevent achieving the vision and the strategic direction the Centre must take. This participatory workshop was successful in providing this information.
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 | 0.011 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.031 | 0.010 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".