Bibliographic record
Abstract
. Over the past quarter‐century academic geographers have interrogated the concept of “scale.” It had previously been conceived as an unproblematic and mechanical item in geographical representation, a device for moving “up” from the finely detailed to the general. Regular, commonsensical steps were supposed to move one from the corporeal scale to the global scale, each scale nested into the next higher. Such is the “Russian‐dolls” mode, whereby an individual considering his or her geographical identity—as in this study—would proceed hierarchically in scale from self, to city, to region, to nation, to continent. Ethnographic evidence from Strasbourg, France, however, reveals another mode: “scale skipping.” Here an individual, musing upon her or his identity, can plausibly make the leap from the individual to the supranational scale in one sentence. Instructive examples of both modes are furnished from two fifteen‐strong groups of Strasburgers, selected for their presumed attachment to the supranational‐scale ideal of “Europe.” The older group comprises professional Eurocrats; the younger group, college students returning to complete their studies in Strasbourg after attending universities elsewhere in the European Union through the Erasmus Program of study abroad.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".