Caruso, Donna. Journey Without a Map: Growing up Italian: A Memoir. Saskatoon: Thistledown Press, 2008.
Bibliographic record
Abstract
Misty water-coloured memories of the way we were..." The Way We Were song lyric by Alan Bergman and Marilyn Bergman Forget misty, forget water-coloured-Donna Caruso's memories are painted with bold strokes in full, vivid colour-earthy tones of olive and brown, bright glints of garden green and sky blue, accented in the sunny yellow of a long-ago spring coat and the crimson-red lips, nails and clothing of her mother.Memory is a funny thing-one cannot just sit down and decide to remember one's life-it is not that simple.Rather memory is complex and fragmented, operating on a taste of peppermint lozenge, a glimpse of clouds rolling over a full moon, the opening line of a song long-forgotten, the fragrance of cherry blossoms in spring.Memories are born of the senses.And never have I read such sensual memories as in Journey Without a Map: Growing Up Italian.It is a masterpiece of colour, sensuality, and story-weaving.Just as one recalls and reports on parts of life when speaking, Caruso's life stories are told in fragments-variously in letters, in family folklore, some descriptions repeated in different fragments, so that readers almost feel they are their memories too, the second time around.Religious symbolism abounds.Raised as a good Roman Catholic girl, the child Caruso feels forced to lie during confession, since she was too good to actually do any sinning but felt her priest expected it of her (159-160).She writes of her early desire to be a saint (148) but later, realizing she can't be a saint, she settles on becoming a nun (152)-Caruso does not become either, or if
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.013 | 0.007 |
| Scholarly communication | 0.006 | 0.009 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.021 | 0.006 |
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".