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Record W2886907972 · doi:10.3968/10175

Robert Lee Frost: A Real Revolutionist With High Political Insight and Nationalism

2017· article· en· W2886907972 on OpenAlexvenueno aff
Yousef. A. N. Aldalabeeh, Md. Rabiul Alam

Bibliographic record

VenueStudies in literature and language · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicPoetry Analysis and Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsPoetryPoliticsAmerican poetryNationalismLiteratureDemocracyPhilosophyGeniusAestheticsSociologyLawArtPolitical science

Abstract

fetched live from OpenAlex

This paper focuses on the philosophy of politics, nationalism and other notable but rarely recognised themes of the world class American poet Robert Lee Frost. In order to identify these themes some of the poems of Robert Frost have been taken under consideration from his vast areas of poetry collection. The poetry of Robert Frost dealt not only with the pastoral and common elements of life and nature but also the awareness of the problems of man living in the modern world dominated by the philosophy of politics. His poetry portrays the actual values of human being which can be brought through the real thinking of the real politicians. People are living in the state of regret, frustration and disillusionment that are expected to be solved and overcome by the dedication and determination of the democratic minded political persons reflected in the poetry of Frost. In this paper the data are based on the secondary sources. Frost’s masterly genius is well reflected in his poetry where he portrays the concrete details that constitute the scenes and action from which his poems spring. He also had a life full of struggle, hardship and sorrow which made him realize the actual problems of human being.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.008
Scholarly communication0.0040.003
Open science0.0000.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.016
GPT teacher head0.289
Teacher spread0.273 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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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