The concept of “solitude” Yann Martel’s novel “The High Mountains of Portugal”
Bibliographic record
Abstract
Cognitive linguistics is the advancing branch of philology due to the proven correlation between the development language and human’s mind. The article analyzes the concept of “solitude” on the example novel by Canadian writer Yann Martel “The High Mountains of Portugal”. The object of this research is the concept “solitude”. The subject is the linguistic explication of the concept of “solitude” realized on the lexical and textual levels. Emphasis is made on characteristic features of the novel confirming that it refers to the literature of postmodernism. The author lists distinctive characteristics of the concept, analyzes the definition of “frame” with variety of subtypes, and “semantic field” as the largest semantic paradigm emerging by association with one or another phenomena. The concept of “solitude” is viewed from the perspective of philosophy, pedagogy and psychology. The scientific novelty consists in the analysis of insufficiently studied literary work of postmodernism (written in 2016) through the lens of cognitive linguistics. The term “concept” is considered in the context of multiplicity of its characteristics and approaches; definitions given by the scholars of various times and schools are provided. A conclusion is made on the discursive and emotional-evaluative components of the concept at hand. The author established the lexical and notional frames in the specific novel.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.010 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".