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Record W3204430601 · doi:10.33137/ic.v34i0.37476

A Cross-cultural, Trans-generational Portrait of Italian-Canadians in Adriana Monti’s Two Short Films

2021· article· en· W3204430601 on OpenAlexvenueaboutno aff
Anna Foschi Ciampolini

Bibliographic record

VenueItalian Canadiana · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicItalian Fascism and Post-war Society
Canadian institutionsnot available
Fundersnot available
KeywordsPortraitAcculturationFilm directorGender studiesCreativityPerspective (graphical)ImmigrationSociologyIdentity (music)Generation gapMovie theaterPsychologyVisual artsAnthropologyArtPolitical scienceAestheticsSocial psychologyEthnic group

Abstract

fetched live from OpenAlex

Adriana Monti is an Italian-Canadian independent producer, feminist filmmaker and author. She started her career in Italy in the late 1970s by developing a collaborative and experimental style that allowed the women object of her research to take an active and creative role in her films. This interview centers around her two recent documentaries. Family 001 and Family 005 are two shorts exploring the lives of several influential Torontonians and Montrealers of Italian origin through a series of informal interviews with women, men and members of the same family from diverse age groups. This brings a captivating and often touching perspective of the Italian-Canadian immigrant experience. In the course of this interview, Monti explores the deeper issues of identity, integration, acculturation, shifting gender roles, generational lifestyles and career choices. She also talks about the influence/interference of government in people’s lives and in respect to creativity and cultural life.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.053
Threshold uncertainty score0.208

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0200.006
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.023
GPT teacher head0.311
Teacher spread0.288 · 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 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
Published2021
Admission routes2
Has abstractyes

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