Knjižna ocena - Marcelo J. Borges in Sonia Cancian (ur.), Migrant Letters: Emotional Language, Mobile Identities, and Writing Practices in Historical Perspective
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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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 | 0.002 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".