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Record W4367841417 · doi:10.33137/ic.v4i.41061

Note: Padre Riccardo: Pioneer in the Italian Community of Toronto

2023· article· en· W4367841417 on OpenAlexaffvenueabout
Ezio Marchetto

Bibliographic record

VenueItalian Canadiana · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsBrock University
Fundersnot available
KeywordsLibrary scienceHistoryComputer science

Abstract

fetched live from OpenAlex

EZIO MARCHETTOFor twenty-one years the life of Fr.Riccardo Polticchia was closely interwoven with the life of Toronto's Italian community.From 1936 to 1958 his pastorate, which was interrupted only for one year, made of St. Agnes' Church the point of reference for the thousands of Italian immigrants coming to the city and the prototype for all the churches, clubs and organizations established through the years for the Italian community.We can probably say that Padre Riccardo, as he was familiarly known, became an honorary member of almost every Italian household of Toronto from the depression years to the post-war period.His Life David Polticchia-who would later take the name Riccardowas born on June 6, 1885 in Santa Maria degli Angeli near Assisi in Italy.At the time, it was a very small village on the vast Assisi plain dominated by the solemn Church of Portiuncula.David's birth-place was an old house across the square from the Basilica called 7] Palazzaccio.The family was made up of: Erminia and Biagio Polticchia, the parents; Silvio the older son; David and four sisters.When Silvio entered the Seraphic College of Farnetto to become a Franciscan, David wanted to follow his brother, but, being the only male son at home, he encountered the opposition of the father.It was only after the birth of another son, Egidio, that Biagio Polticchia and his wife, Erminia

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)0.000
metaresearch head score (Gemma)0.001
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.104
Threshold uncertainty score0.210

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.002
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0280.005

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 head0.023
GPT teacher head0.279
Teacher spread0.255 · 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
GenreOther

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 routes3
Has abstractyes

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