ITALY REVISITED. CONVERSATIONS WITH MY MOTHER BY MARY MELFI, A DIALOGUE BETWEEN A MOTHER AND A DAUGHTER
Bibliographic record
Abstract
The Italian-Canadian writer Mary Melfi is the author of a memoir entitled “Italy Revisited. Conversations with my Mother”, published in Canada by Guernica Editions in 2009. This work represents an anthropological fresco of unexpected depth and richness. The memoir presents conversations between a mother and a daughter who wants to know her origins and the story of life in a village of Southern Italy. Both protagonists are women of Italian origin who have emigrated to Canada, but they demonstrate polarized forms of self-representation and compensation for their displaced circumstances. The protagonist/narrator directly articulates the oppressive stigma of her tattered identity because she is the everyone and no-one in the immigrant experience; she has a past and varied history that she will ultimately exchange for a new identity. The irony in Melfi’s narrative may be understood as a device to redeem the meaning of selfhood against value-assigning roles in society. Conversations and writing become a liberating medium that reconciles the protagonists and the same author to their past and identity. However, the memoir can be considered a reconciliatory text hinging on the figures of the mother and daughter, who finally reconstruct a past – their suffered and never forgotten family past.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.010 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".