Action Research Helps Citizens Prepare Madison County, Florida Vision 2020
Bibliographic record
Abstract
Madison County, in North Central Florida, engages its citizens in a visioning process about every 10 years. This paper reports the process as it involved the three elements of participatory action research as described by Herr and Anderson (2005), participation, research and action. The participants included Madison citizens, business representatives and government officials as well as University of Florida faculty facilitators. The research was conducted in a series of meetings which involved data collection and description from the participants using a structured continuum of questions. The action part of the process was the actual reports from the citizen groups that took the issues and concerns as expressed in the small group setting and prepared a report to use with the county comprehensive plan and the Madison Development Council. Evaluations were positive and the comments indicated that participants looked forward to continuing to meet in their respective interest group to push their particular issue of concern. Keywords: visioning process, participatory action research, quality criteria, validity criteria
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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 | 0.050 | 0.034 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".