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Record W2911277723 · doi:10.5539/ells.v9n1p38

Identity Construction: Narrative Tension in Saul Bellow’s Herzog

2019· article· en· W2911277723 on OpenAlexvenueno aff
Zheng-Cai Li, XU Ming-ying

Bibliographic record

VenueEnglish Language and Literature Studies · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsnot available
FundersFundamental Research Funds for the Central Universities
KeywordsNarrativeNarrative identityIdentity (music)SociologyAestheticsDeconstruction (building)Narrative structureNarrative inquiryIdeal (ethics)SelfEpistemologyLiteraturePhilosophyArtEngineering

Abstract

fetched live from OpenAlex

This paper takes narrative ethics as the approach to analyze ethical dimensions of the tensions between self-narrative and other-narrative in Saul Bellow’s Herzog, and indicates that self-narrative represents the protagonist’s appeal of identity construction, other-narrative symbolizes external forces deconstructing his identity, and narrative reconciliation between self-narrative and other-narrative represents possibilities of his identity construction. Representational ethics shows that Herzog’s self-narrative attempts to construct identity through fictionalizing ideal self at the expense of real self, then to consolidate new identities by assimilating the absolute other. However, narrational ethics suggests that other-narrative represents the absolute other’s deconstruction of new identities constructed by Herzog’s subjective intention, and puts all new constructed identities into suspension. Identity reconstruction can be possible only when Herzog faces the gap between real self and ideal self, confronts existence of the absolute other, responds to its ethical call, and actualizes reconciliation between self-narrative and other narrative. Besides, hermeneutic ethics indicates that the reader also has a role to play in Herzog’s process of identity construction due to tensions between self-narrative and other-narrative, which bestows the reader with constantly switched ethical positions and distances from the text, thus makes the reader’s responsibility towards the text an infinite movement.

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)0.000
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 score0.122
Threshold uncertainty score0.448

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.009
GPT teacher head0.292
Teacher spread0.283 · 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
Published2019
Admission routes1
Has abstractyes

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