Bibliographic record
Abstract
Abstract This introduction presents a framework for analyzing the semiotic dimensions of mobility. Drawing upon the notion of pathway (Wortham & Reyes 2015), it examines how mobility is facilitated by semiotic processes that link linguistic emblems with speaker images across time and space (Agha 2007). It focuses on the circulation of discursive forms, facilitated by media technologies and complex patterns of transnational interaction, which ascribe identities to people on the move and root such identities within hierarchical structures of the market on local, national, and transnational scales. Looking at how interdiscursive networks intersect with people's experience of mobility and the way they position themselves in social space, this article problematizes the divide between ‘micro’ and ‘macro’ approaches, offering a historically grounded approach to operations of power that permeate both metapragmatic discourse and experiences of mobility. (Mobility, metapragmatics, mediatization, interdiscursivity)*
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.005 | 0.036 |
| Scholarly communication | 0.007 | 0.014 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".