Meeting challenges in the face of change: how the newly independent 4-H Ontario is learning to do by doing
Bibliographic record
Abstract
The following research on 4-H Ontario was conducted to display the importance of organizations which represent rural youth in Ontario. The researcher analyzed the process a non-government organization must take when faced with a major decrease in government support and funding. As part of the research process, a detailed literature review on organizational capacity development and a conceptual framework were completed. Data collection was accomplished by conducting semi-structured personal interviews with 4-H stakeholders. A focus group and direct observation activity with 4-H Ontario members were completed as well as a mail out/Internet survey. The following conclusions were determined in this study: (1) 4-H Ontario has successfully maintained its organization throughout its five year transitional period; (2) 4-H Ontario has dealt with the organizational responsibilities and challenges stemming from its independence from OMAFRA in a variety of positive ways, but focus needs to be placed on challenges facing the organization and (3) organizational change experienced by 4-H Ontario has had an impact on the organization's ability to offer capacity development. The results, conclusions and recommendations presented are intended to assist 4-H Ontario in strengthening its organizational capacity development, which in turn will lend to the overall development of capacity for rural youth in Ontario.
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How this classification was reachedexpand
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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".