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Record W4323660853 · doi:10.33137/ic.v17i.40307

Between Diaspora and Global Icon: On the Representation of “Italicity” in Global Media

2023· article· en· W4323660853 on OpenAlexaffvenueabout
Monica Stellin

Bibliographic record

VenueItalian Canadiana · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicItalian Fascism and Post-war Society
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsIconDiasporaRepresentation (politics)Media studiesComputer scienceHistoryPolitical scienceSociologyLaw

Abstract

fetched live from OpenAlex

The importance of Italian Studies continues to be acknowledged at the University of Toronto with the offering of several programs in the field by the Department of Italian Studies.This, of course, not only reflects the long history of Italian Studies at this university, but also the presence of a large Italian community in Toronto, one of the largest in Canada, as well as in North America.This testifies to the significant role the Italian-Canadian community plays in Canada, as well as in the Italian Diaspora.While the relevance of the Italian contribution to the Canadian multicultural makeup is particularly evident in Toronto in both the academic institutions of the University of Toronto and York University and in the cultural setting of the city, one would gain a different perspective by simply moving a few miles away from this metropolitan area to Waterloo, for example, where I presently teach.In that context, the Italian cultural presence as well as academic offerings are of secondary importance or even optional, even if habitually appreciated and acknowledged.The ethnic makeup in Waterloo County is quite different from the Toronto Metropolitan Area and academic programs are strictly built on the maximum student-ratio per course possible.The program which I am trying to establish has to be developed based on the awareness that (rather than being offered to a community which is mainly Italian, Italic, Italophone or Italophile, such as the Torontonian one), it has to be geared toward the interests and needs of a mainly Italophile-only community, with little previously acquired knowledge of, or exposure to, the Italian language and culture and a perception of Italicity which is more informed by general mainstream trends than by direct experience or heritage.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.183
Threshold uncertainty score0.717

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
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 head0.035
GPT teacher head0.308
Teacher spread0.273 · 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 designObservational
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 routes3
Has abstractyes

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