Locating the Public, Dislocating Knowledge Production: An Introduction to Public Economic Geographies for the Twenty-First Century
Bibliographic record
Abstract
Driven by concern with the quintessentially political decisions made in the interest of “the economy”—and the widely disparate outcomes produced in the process—the project of public economic geography is interested in how knowledge production in economic geography can be imagined to produce more just outcomes. This is an introduction to a Focus section in which four interlocutors reflect on what economic geography could look like if it engaged more directly with the politics of knowledge production. A public economic geography seeks to dislocate, spatially and figuratively, conventional academic considerations of expertise and audience, while also explicitly locating itself in a public purpose for publics both inside and outside the academy. Three themes informing this project emerge from the contributors’ reflections: revealing (making public) economic knowledges, reimagining economic relations, and reeducating ourselves and our publics about normative economic concepts and the performance of academic authority. Together, these contributions point to some fundamental moves toward a more “public” orientation within the subdiscipline.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.010 | 0.036 |
| Scholarly communication | 0.016 | 0.014 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.006 | 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".