Building A Fire: The Geographies Of Community Geography
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper contributes to scholarly conversations about how to (not) define community in community geography (CG). We draw on Annemarie Mol and John Law’s formulation of a fire topology to reflect on CG research spearheaded by a community-based environmental organization concerned with industrial contamination in northeastern Oklahoma. To explore how, where, and why we came together around a multimedia storytelling initiative aligned with the geohumanities, we trace the events and encounters leading to our collaboration. We then closely examine one of the first digital products to emerge out of our relationships and research: a StoryMap detailing the history and environmental impacts of a BF Goodrich tire factory that operated between 1946 and 1986 in Miami, the county seat of Ottawa County, Oklahoma, while also commemorating the labor and lives of people associated with the plant. Our overview of the StoryMap and its creation also commemorates the geographies of the embodied work experiences in building community around the research informing the StoryMap. Our discussion considers the dynamic and sporadic dimensions of our ongoing CG research, celebrating accomplishments and potential for future endeavors without failing to recognize how the quotidian friction of distance, as well as professional commitments, have stymied or slowed—but not stopped—our collaboration. Keywords: collaboration, StoryMap, Superfund site, environmental activism, geohumanities.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it