Bibliographic record
Abstract
In 1946, as the dust began to settle from the brutalities and destruction of war, Maria’s young life was set in motion. Her departure from her home village in Southern Italy to a boarding school in Umbria—followed by subsequent moves within Italy, and later to Canada—signaled a mobilization that would, in time, transform her notions of love, home, and family. Love and separation form the nexus of analysis in this chapter on love and migration. Through narratives of memory, silence, loss, regret, and resilience, a transnational love between a mother and daughter is unraveled. Drawing from a series of oral history interviews and a lifetime of conversations, this chapter examines the world of tensions and dynamics of distant love between a mother and her daughter. It shows how love was a powerful driver of migration and legitimizer of separation between mother and daughter in a historical moment of severe austerity in Italy. An auto/biographical, personal narratives approach is employed to explore questions on love and distance emerging in the contexts of war and migration in the mid-twentieth century.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.009 | 0.016 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".