Translating Arboreality, a climate change-focused novella by Rebecca Campbell
Bibliographic record
Abstract
L'obiettivo di questa tesi è commentare e analizzare la traduzione, dall'inglese all'italiano, della novella Arboreality di Rebecca Campbell sul cambiamento climatico, pubblicata il 29 settembre 2022 in Ontario da Stelliform Press. Il primo capitolo sarà dedicato all'analisi del libro. Dopo una breve biografia dell'autore, verrà fornito un riassunto della trama. Si passerà poi ad un approfondimento dei temi affrontati nella novella e a un'analisi dei vari personaggi. Il secondo capitolo sarà dedicato allo studio di Arboreality attraverso una prospettiva ecocritica. Inizieremo spiegando cosa si intende, da un punto di vista globale, per ecocritica e quali sono gli scopi e gli ambiti di applicazione di questo campo di studi letterari. L'attenzione sarà quindi spostata su quella che può essere definita ecocritica canadese, attraverso l'osservazione delle sue modalità culturo-specifiche di relazione tra uomo e natura. Partendo dal presupposto che l'ecocritica è una disciplina di studi letterari, ci dedicheremo, in seguito, all'analisi della fiction sul cambiamento climatico, un genere letterario in rapida ascesa, a cui appartiene Arboreality. Il terzo e ultimo capitolo sarà dedicato all'analisi della traduzione, la quale toccherà alcuni punti. Dopo aver spiegato il processo di identificazione della dominante del testo e del lettore modello, principi su cui orientare la traduzione, ci concentreremo su tre aspetti specifici: ritmo della prosa, linguaggio e repertorio lessicale. The aim of this thesis is to comment and analyse the translation, from English to Italian, of Rebecca Campbell’s climate-change focused novella Arboreality, published on September 29, 2022, in Ontario, by Stelliform Press. The first chapter will be devoted to the analysis of the book. After a brief biography of the author, a summary of the plot will be provided. We will then move on to a study of the themes addressed in the novella, as well as an analysis of the various characters. The second chapter will be devoted to the examination of Arboreality through an ecocritical perspective. We will begin by explaining what is meant, from a global point of view, by ecocriticism and what are the purposes and areas of application of this field of literary studies. The focus will then be shifted to what can be defined the Canadian ecocriticism, through the observation of its cultural-specific modes of relationship between man and nature. On the premise that ecocriticism is a discipline of literary studies, we will then shift our attention to climate change fiction, a rapidly rising literary genre, to which Arboreality belongs. The third and final chapter is devoted to the analysis of the translation, which will touch on a few points. After explaining the identification process of the dominant of the text and the model reader, tenets upon which to orient the translation, we will focus on three specific aspects: prose rhythm, language, and lexical repertoire.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.018 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".