Nomads’ Land: Exploring the Social and Political Life of the Nomad Category
Bibliographic record
Abstract
Abstract The category of the nomad has gained a newfound salience in recent decades, ranging from public interest in “digital nomadism” to academic debates about “nomadic theory.” Faced with this upsurge of interest in nomadism, this collective discussion brings together five scholars of diverse theoretical and academic backgrounds to investigate the pasts, presents, and possible futures of the nomad category. The contributions excavate the conditions under which the category first arose in European social and political discourse, explore the historical baggage that this category has carried with it into the twenty-first century, and inquire under what conditions nomadism has come to be regarded as a promising or emancipatory trope. Keeping with the open-ended ethos of international political sociology, the aim of the collective discussion is not to seek conceptual mastery over the category of the nomad, but to foreground the multiple, ambivalent, and often contradictory ways in which this category has been deployed through space and time. More broadly, the collective discussion is an invitation for scholars to explore the international social and political lives of our concepts in a way that destabilizes disciplinary and institutional boundaries.
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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 | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.027 | 0.047 |
| Scholarly communication | 0.014 | 0.015 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".