Autobiography through Anecdotes in Joe Pieri’s Isle Of The Displaced
Bibliographic record
Abstract
Associated with such life writing genres as (auto)biographies and memoirs, anecdotes are described as stories which “illustrate particular ideas, concepts, and views of the way a life is lived, making considerable editorial commentary on the nature of a particular ideological moment and the effect of that moment on individual lives.”(Encyclopedia of Life Writing) Anecdotes thus focus on, and highlight, episodes of a person’s life by transforming them into tales and stories using fictional narrative techniques and suspenseful plot twists. Having emigrated from Italy to Scotland at the beginning of the twentieth century and established his fish and chip shop in Glasgow, Joe Pieri was then interned and turned into an “enemy alien” on the day Italy declared war on Britain in 1940. In Isle of the Displaced, his book about this traumatic event, Pieri turns the most marking aspects of his journey to, and life in “Camp S” in Canada into a series of witty and comic anecdotes. This paper focuses on the definitions and history of anecdotal theory in order to analyse Pieri’s fictionalisation strategies and the way these stories function as a psychological dam in times of crisis, in addition to re-inscribing these important events in British and Italian histories. The main contention of this article is that the appeal of fiction increases during life’s most difficult times mainly thanks to the imaginative and tragic-comic powers of literariness.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.010 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".