Verbal Indicators of Personal Identity in The Road Past Altamont by Gabrielle Roy
Bibliographic record
Abstract
The present paper explores personal identity linguistic indicators detected in The Road Past Altamont by Gabrielle Roy. Works by this Canadian writer, public personality, and significant figure in French Canadian literature are of interest to a broad audience today in Canada, where almost all her books have been translated into English, and abroad. Written in a fluid, spare style, they are distinguished by lively narration and a keen sense of observation. Her literature approaches the world and people with clear sight and compassion. The Road Past Altamont (1966) by Roy is one of the most original in Canada, as varied as it is cohesive. The novel is dedicated to the coverage of the autobiographical narrative, the peculiarities of the personal identity crisis for different age groups, the succession of generations. These existential problems are actualized in crisis life situations. Despite containing four independent texts, the Road Past Altamont, each of which tells a finished story, is not a collection of short stories but a novel-saga. Its genre is both fragmented and unified, and it has a flexible structure based on the concept of the human life course. The four stories in this novel are connected not only by the main character at different points in her life but also by the themes that explore the changes, ageing, and society’s relation to the elders. The study aims to single out verbal indicators of personal identity obtained from the second part, “The old man and the child” of the Roy’s novel and the music album of the same name, created on its basis in 2021. Among the main findings are the defining psycholinguistic markers of time and space in the discourse of “The old man and the child” that encompass personal identity cognitive component. Hence, it is possible to treat the transformation of identity in the modern world in terms of constructing “self” as a reflexive project - implementing an integral, biographical story being changed in a polyvariant context of choice.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".