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Record W4306810713 · doi:10.33137/ic.v36i1.39391

Scolpito nella pietra: testimonianze scultoree della comunità italiana di Barre, Vermont

2022· article· it· W4306810713 on OpenAlexvenueno aff
Alessia Martini

Bibliographic record

VenueItalian Canadiana · 2022
Typearticle
Languageit
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtGeography

Abstract

fetched live from OpenAlex

A partire dal 1890, la cittadina di Barre, Vermont, vide l’arrivo di numerosi operai italiani specializzati nella lavorazione della pietra. Questi operai, provenienti principalmente da Carrara, in Toscana, erano animati da ideali di solidarietà di classe e da una forte etica del lavoro; crearono così sindacati e corporazioni, si batterono per migliorare le condizioni lavorative degli artigiani del settore, e portarono a una riconfigurazione dell’intera comunità di Barre. Il lavoro della comunità italiana fu essenziale nello sviluppo dell’industria locale e contribuì a far diventare Barre capitale mondiale del granito. Tramite un’analisi dello spazio urbano, in particolare delle statue ed edifici eretti dagli immigrati italiani, questo articolo esamina in che modo la comunità è riuscita a preservare la propria identità e i propri valori. Esamina, inoltre, i luoghi che per la comunità hanno rappresentato un ponte con la patria lontana e che preservano ancora oggi l’identità di quegli uomini che hanno letteralmente scolpito la propria storia nella pietra, lasciando per sempre memoria del loro ruolo nella costruzione dell’America.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.615
Threshold uncertainty score0.766

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0320.012
Scholarly communication0.0060.002
Open science0.0010.005
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0100.001

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.

Opus teacher head0.024
GPT teacher head0.252
Teacher spread0.228 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations1
Published2022
Admission routes1
Has abstractyes

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