Bibliographic record
Abstract
Works by immigrant writers have been analyzed on the basis of their linguistic aspects and their ways of defining identity. This article deals with another dimension of immigration, namely the temporal experiences of Italian immigrants in Canada dramatized by Marco Micone in Silences (2004), a second version of Gens du silence (1982), Addolorata (1984), and Déjà l’agonie (1988). Largely autobiographical in nature, Micone’s trilogy deals with the experiences of first-generation Italian immigrants following World War II. Left to face a difficult situation, these men and women from rural areas share certain experiences common to first-generation immigrants: the need to find continuity with their pre-immigration past; an often traumatic process; feeling that everyday life is marked by circular time; being stuck in an eternal present, as though time were suspended and perhaps even broken. Their situation modifies— and often inhibits—their temporal perspectives and their ability to project into the future. Such experiences can be read through the words, attitudes, and actions of characters in relation to their integration, and can be seen through a series of episodes from the past (memories the characters cannot avoid) that intrude into present-time, disrupting the chronological order of events. In this article, García Martínez analyzes problematic temporalities mainly through the scope of psychoanalytical studies and through the lens of psychotherapy.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.017 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".