Bibliographic record
Abstract
This paper offers insights into the conceptualization of identity in poetry. In particular, it seeks to examine the way the Palestinian-American female poet Suheir Hammad negotiates her textual identity in the poem What I Will. The study uses Mill’s (1995) feminist stylistic theoretical framework in order to identify the identity Hammad constructs for herself in the poem, and the way this textually constructed identity plays out against her cultural heritage and ethnic origin. This objective will be achieved by examining the way textual identity is carried by linguistic choices at the lexical, lexico-grammatical (phrase/sentence) and discourse levels. Analysis reveals a dichotomy constructed via personal pronouns between the speaker and her aggressor. This oppositional relationship is reinforced by the transitivity choices and triggers of presupposition. The speaker uses no gender-specific or sexist nouns and pronouns and no description of her appearance in the textual construction of her identity. Her identity is constructed in terms of her collective ethnic background and resistance to the oppression of her aggressor.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.015 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".