Bibliographic record
Abstract
This paper aims to analyze that the central themes of landscapes and travels in Elizabeth Bishops poetry definitely moves toward her inner self. As she couldnt be classified into the specific school of poetry such as the Beats or the Confessional poets, Bishop is clearly distinguished from her contemporary American poets. Typically, Bishop has been recognized as one of the most critically respected female poets because of her strange and ambiguous writing style. From her early to late period, Bishop ceaselessly associates the questions of travel with“driving to the interior”of her own mind in her poetry. Having felt sense of homelessness from her childhood because of her parents early death, Bishop has wandered lots of different places starting from her maternal grandparents house in Nova Scotia, Canada. As she traveled lots of different places from Europe to Brazil since she came of age, her writings were fundamentally based on her own private journeys. Most of her poems are filled with her precise observations and meditations on various landscapes and travels she experienced. It is important that the landscape Bishop describes in her poetry means a work of the mind because it is built up as much from the strata of her memory. For Bishop, the two different places, Nova Scotia and Brazil, play important roles in her search for the inner awakening. Throughout her life, Nova Scotia and Brazil act as the geographical mirror images of each other, transcending the bounds of time and space. Consequently, her questions that“Should we have stayed at home and thought of here? / Where should we be today?”epitomize her insightful answers to the nature of travel at the same time. Bishops insightful questions and answers of travel are revealed at the moment of awakening the daily wonders of present life.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.008 | 0.011 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".