Bibliographic record
Abstract
This paper discusses the initial findings of on-going research with Mexican migrants and immigrants to Alaska. The paper outlines the historical and on-going connections between Alaska and Mexico and explores how and why those connections have been obscured or ignored. Powerful imaginaries are associated with places: Alaska, and 'the north' more generally, and Latin America, and Mexico specifically. My research shows how interesting things happen when they are brought together through movement. People from Acuitzio del Canje, Michoacán began travelling to Alaska (Anchorage, and elsewhere) to work in the 1950s, and movement between Mexico and Alaska has continued across generations since then. Today, many Acuitzences who live in Anchorage maintain a close relationship with friends and family members in Acuitzio, and travel back and forth regularly. However, this movement is obscured by ideological work that makes Alaska seem separate, isolated, wild, and a place where Mexicans are not imagined to be. Mexican movements into Alaska over time disrupt this vision, showing how Alaska is connected to multiple other geographies, and making the US-Mexico border a salient reference point in everyday life in Anchorage. When the South moves into the North, it can make us think about both 'Alaska' and 'Mexico' in different ways. When the US-Mexico border is relocated to Anchorage, if only for a moment, it can elicit a reaction of humour or surprise. Why is that? And what does this have to do with how people actually live in an interconnected place?
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.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".