Bibliographic record
Abstract
The Hawk in the Rain is Ted Hughes’s first collection of poetry in which the title poem is included. Hawk Roosting appearing in the second book of Ted Hughes is his masterpiece among his animal poems. Both of the hawk image in the above two poems have long been the focus of the critics and poetry reviewers, and they are often discussed separately. However, there must be some differences besides the similarities between the two so that why the same image “hawk” is used twice in Ted’s two important poems can be illustrated. This thesis will focus on this point to discover the meaning of these differences out of their similarities. Key words: Image Creation, Hawk, Man, Similarities, Differences Resume: The Hawk in the Rain publie en 1957 est le premier recueil de poemes du poete laureat britannique Ted Hughes, dans lequel se trouve un poeme au meme titre The Hawk in the Rain. En 1960, il publia son deuxieme recueil intitule Lupercal dans lequel on trouve aussi un poeme sur l’aigle- Hawk Roosting. Ces deux poemes font depuis lontemps l’objet du sujet de discussion des critiques et des amateurs de litterature. En outre, la plupart des discussions sur l’image de l’aigle se font respectivement dans ces deux poemes. Mais l’auteur pense qu’il y a certainement des causes profondes pour Hughes d’utiliser deux fois la meme image pour creer deux poemes differents dans ses deux recueils consecutivement publies. Donc, l’exploration de ces raisons doit partir de l’analyse comparative de ces deux poemes. L’article present, commencant par l’analyse de leurs ressemblances et differences, etudie la valeur et la signification specifiques de la meme image dans de differents poemes. Mots-Cles: image, aigle, homme, ressemblance, difference
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".