Guest workers: herders, borregueros or peões in the United States and Canada rocky mountains
Bibliographic record
Abstract
In the contemporary world and in the globalized farm labor market, employ temporary immigrants workforce become current in economic developed countries. With governmental support, nations as United States and Canada incite and lawful the foreign entrance for occupy jobs and functions that are not fulfilling by native born, consolidating the displacement of a cheap labor force that stays legally for a certain season in these countries. This article brings up primal subjects about a small and hidden group among farm immigrants, the herders, sheepherders and goat herders in northAmerica Rocky Mountains loneliness. Further to provide an initial theoretical instrumental for the reflections about these workers, we intend to localize them within migration theme and the conflict between capital and labor in these days, in its neoliberal context and struggle forms. For such, we used reflections about labor and migration, also different kind of documents about herders in both countries.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".