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Record W2184729032 · doi:10.5539/ells.v5n4p61

Color as Metaphor—A Study of Joyce’s Use of “Black” and “Green” in Dubliners and A Portrait of the Artist as a Young Man

2015· article· en· W2184729032 on OpenAlexvenueno aff

Bibliographic record

VenueEnglish Language and Literature Studies · 2015
Typearticle
Languageen
FieldPsychology
TopicLanguage, Metaphor, and Cognition
Canadian institutionsnot available
Fundersnot available
KeywordsPortraitMetaphorIrishMeaning (existential)LiteraturePoliticsFeelingArtSociologyArt historyPhilosophyAestheticsLinguisticsLawEpistemology

Abstract

fetched live from OpenAlex

<p class="21">In a literary work, color is often employed to create a certain atmosphere, portray the characters or convey the author’s emotions. The eleven basic colors frequently appear in James Joyce’s two early works, Dubliners and A Portrait, carrying with them rich metaphorical implications. This reveals Joyce’s expert use of color as metaphor.</p><p class="21">From the perspective of the theory of conceptual metaphor, this thesis analyzes the complicated metaphorical meanings of the color black in <em>Dubliners</em> and <em>A Portrait,</em> which is the keynote in the two works and also the color green, which is the national color of Ireland, mainly endowed with a metaphorical meaning of rottenness. In these two works, “black” and “green” are found to be endowed with both positive and negative metaphorical meanings, producing an ironic effect, which in some way, reveals Joyce’s complicated feelings about his motherland. His use of the colors black and green as metaphors draws our attention to the fact that when he was writing these two works, he intended to express his detestation of the evilness of the Irish Catholic church, the decay of Irish politics, the corruption of Irish education and the decline of Irish society, though at the same time, he was still emotionally attached to his motherland, Ireland.</p>

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score0.451

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.024
GPT teacher head0.305
Teacher spread0.281 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2015
Admission routes1
Has abstractyes

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