Knjižna ocena - Marcelo J. Borges in Sonia Cancian (ur.), Migrant Letters: Emotional Language, Mobile Identities, and Writing Practices in Historical Perspective
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
Zbornik z naslovom Migrant Letters: Emotional Language, Mobile Identities and Writing Practices in Historical Perspective prinaša osem razprav, ki se posvečajo različnim stališčem izseljenske korespondence. Uredila sta ga Marcelo Borges in Sonia Cancian, raziskovalca, ki se več let ukvarjata s študijem tega vznemirljivega, a žal prevečkrat – vsaj na naših tleh – zapostavljenega stališča študija migracij. Sonia Cancian je z analizo čustvenih razmerij med izseljenimi in svojci v monografiji Families, Lovers and their Letters: Italian Postwar Migration to Canada opozorila na emocionalno dimenzijo odnosov, ki jo zaznamujejo migracije, Borges pa je objavil pomembna dela o portugalskih migracijah v Latinsko Ameriko. V njih skuša transatlantske migracijske mreže pojasniti tudi s pomočjo študija izseljenske korespondence. Članki, objavljeni v pričujočem zborniku, niso popolnoma izvirni, saj so že bili objavljeni v posebni številki specializirane revije The History of the Family 21/ 3, 2016.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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