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Record W4323670604 · doi:10.33137/ic.v18i.40222

Making Sense of Migration from the Other Side of the Ocean: Letters of the Families and Friends Who Remained Behind

2023· article· en· W4323670604 on OpenAlexaffvenue
Sonia Cancian

Bibliographic record

VenueItalian Canadiana · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicAsian American and Pacific Histories
Canadian institutionsConcordia University
Fundersnot available
KeywordsSense (electronics)Sense of placeGenealogyHistoryGeographyEconomic geographyEngineering

Abstract

fetched live from OpenAlex

che piangere e pensare a te.Ora sono tranquilla e contenta nell'apprendere dalla tua lettera del viaggio tranquillo e della buona accoglienza da parte dei tuoi genitori.Anche per me sarebbe stata una grande gioia stare vicino a voi e partecipare alla vostra felicit.Io prego il Signore che mi dia la fortuna di poterti riabbracciare... Ti raccomando di essere buona e brava come sei stata con tua madre e di rispettare i tuoi genitori e di voler bene a tuo marito, perch nella vita l'unica felicit volersi bene.Grazie delle mille lire che mi hai mandato.Il mio pensiero sempre rivolto a voi e vorrei esservi vicino, ma la lontananza troppa, quindi non possibile.Tanti baci e abbracci a te e Domenico con la Santa Benedizione. MammaMy dearest daughter,

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.368
Threshold uncertainty score0.726

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.016
GPT teacher head0.248
Teacher spread0.232 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes2
Has abstractyes

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