Bibliographic record
Abstract
This thesis examines womens' poetry of the radical Left and organised labour movement of the Depression-Era United States and investigates the relationship between poetry and politics during this period. In so doing, it shows that women poets were concerned with precisely that problem: of poetry's political function. The work of individual poets and the acts of collective cultural production explored in this thesis articulate a radical, politically transformative poetics at a time when the continued existence of poetry was perceived to be under threat from scientific advance and wider cultural changes. Juxtaposing analysis of Left modernist poets with poets of the labour movement, the chapters focus on three individual poets including Muriel Rukeyser (1913-1980), Genevieve Taggard (1894-1948) and Miriam Tane (1916-2007). To provide an understanding of the role of poetry within a specific political movement and to establish the context in which Tane's poetry was produced, two chapters are included which analyse the educational culture and the collective cultural production of the International Ladies' Garment Workers' Union. One chapter focuses on the history of the ILGWU's educational and cultural activities and the other analyses collections of poetry which the union produced. This thesis challenges the existing paradigm in which the study of American radical Left and labour poetry has been isolated from any broader enquiry about its relationship to class, American political history and also to literary modernism. This thesis advances two main arguments: that the poets considered in this thesis conceived of poetry as a politically transformative force; that these politically transformative understandings of poetry were rooted in in an engagement with the ideological and material contexts of the social movements to which these writers belonged. Furthermore, this thesis considers poetry in terms of the material context of its publication, and the political uses to which it was put.
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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 | 0.001 | 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 | 0.007 | 0.009 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".