Bibliographic record
Abstract
Girotondo is the Italian name of the children's game, ring-around-a-rosy. The word giro has connotations in Italian, that this novel develops as symbolism. Giro may be translated as a turn, a tour or a circle, so fare un giro is to take a short ride with the aim of returning to the starting point. Gira e rigira is to go around in circles; mettere in giro , to spread rumors; while una presa in giro is to be taken for a ride or to be fooled. With these nuances in mind, the novel presents a group of people whose traditional lives have been disrupted by the process of immigration, and who live a somewhat disjointed existence. In presenting the story of three women of different generations, all living in Montreal but connected by their origins in the same Italian village, and who have been traditionally kept silenced, the novel aims to reveal that the harmony of community was fractured as much by the mind-set present in the village of their past as by the realities of adjusting in a New World. Added to the protagonist's search for her true identity and for self-realization is her obsessive need to write and record the phases of her family's immigrant journey. Through a discussion between an editor to whom she shows her work and the publisher of an ethnic press, the novel also attempts to raise questions related to the writing of the immigrant experience, as well as about living it.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.108 | 0.035 |
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".