Bibliographic record
Abstract
The article is based on a 1991-92 research, published in Sole senza Sole (1998). In his book Colangelo retraced the journey and life of 110 Italian women, residing in Toronto. He followed the stages of their lives, successes and difficulties, including those arising from their retirement onwards. For these women the greatest difficulties began just when they could relax with their husbands and enjoy the well deserved retirement. After the death of their spouses these women often lived alone; they did not know how to drive; their children were adults and independent; they did not interact much with their neighbours: they lived in a neighborhood far from shops, supermarkets, churches, etc. This situation created an existential void, isolation and solitude, aggravated by long, unnerving climatic conditions and a silence that it is not golden nor a “blessed solitude!” In this article, Colangelo reflects on the dynamics of the cultural transition of the emigrant-immigrant, who encompasses two different experiences: first as one who leaves his country, and second as one who enters the country in which he or she has decided to settle.
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 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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.014 | 0.032 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".