Emotional geographies of irregular transmigrants’ journeys
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
Abstract Migrants’ journeys involve geopolitical, corporeal, and emotional dimensions. Yet, emotions, which are fundamental to understand the migrant experience, are usually overlooked. Following the ‘emotional geographies’ approach, this article analyses the spatial contextualisation of the affective and emotional experiences of irregular migrants in transit. Cognitive mapping methodology is proposed as a means to address the spatial and subjective dimensions of migrants’ experiences. The ‘testimonial maps’ of two Central American transmigrants in Mexico are explored. The emotional geographies of irregular transmigration underscore the emotional turmoil associated with the irregular migratory process(es). They shed light to the familiar arrangements made before the journey, the natural landscape as part of the control, the encounters with agents of the state and criminal actors, the sanctuary places, the acquaintances and fortuitous friendships, the resilience and adaptability needed for endure the journey, and, beneath all this, the multi-emotional dimension of the journey: love, sorrow, shame, courage, anxiety, fear, trust, kindness, and hope.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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