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Record W2578937341 · doi:10.5539/ells.v7n1p9

The Struggle for Confiscation: An Imperialistic Look at Alfred Lord Tennyson’s Poem “Ulysses”

2017· article· en· W2578937341 on OpenAlexvenueno aff
Navid Salehi Babamiri

Bibliographic record

VenueEnglish Language and Literature Studies · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicPolitics and Conflicts in Afghanistan, Pakistan, and Middle East
Canadian institutionsnot available
Fundersnot available
KeywordsBattlePoetryRelation (database)NothingPower (physics)HistoryLiteratureLawPhilosophyArtAncient historyPolitical scienceComputer science

Abstract

fetched live from OpenAlex

The power of imperialism ascended during the Victorian age, when both the sense of nationalism and industrial revolution concurrently took place. Imperialism in its kind is the sense of domination of one group of people over another, or to a great point, it’s the domination of one country to other countries to confiscate its properties and belongings. Here in the poem written by Alfred Lord Tennyson, the poet tries to ironize the situation by showing and focusing on such an old king (may be the king of England), who has recently come back home from his travels and has complained about his “idleness.” This “idleness” for the king is equal to ceasing the kind of power, namely, if he does not move and battle, he has nothing for his country, and even he does not record a name for himself in the history of England. Thus the aim of the present paper is not only limitedto the relation between power and the sense of imperialism, a relation that leads to malicious and destructive behavior but it also condemns that kind of relation. However, it is done implicitly, as once the poet did in his poem, by showing the negative use of power in hands of some, like the king of England, who has done his best even at his death’s door to continue again and conquer wherever he sees that brings benefits to him. Not surprisingly; the poem also implies to the battle of Troy in the sense of imperial actions.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.869
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.027
GPT teacher head0.356
Teacher spread0.330 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2017
Admission routes1
Has abstractyes

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