Odbijanje položaja nijeme žrtve u izvedbenoj poeziji palestinske autorice Rafeef Ziadah / Resisting the Position of the Mute Victim in the Spoken Word Poetry of the Palestinian Author Rafeef Ziadah
Bibliographic record
Abstract
Spoken word poetry is crafted for public performance, created with the intent of being heard and observed, rather than merely read. Common themes in contemporary performance poetry are social injustice, violence, identity issues, and gender and racial discrimination. Palestinian-Canadian poet Rafeef Ziadah addresses the plight of Palestinians in her works published across three albums—Hadeel, We Teach Life, and Three Generations. Her poetry explores their war-related suffering, the prolonged apartheid policies against them, displacement, and life in the diaspora. Additionally, her themes encompass the status of Arab women, homelessness, widespread disenfranchisement, and the suffering experienced by marginalized groups—including women, children, and migrants. The suffering of others, often encountered through media, frequently leads to a certain saturation and indifference (Sontag), accompanied by a cynical perception that not all human lives merit equal sorrow (Butler). Thriugh her poetry, Ziadah rebels against the callous perpetrators and indifferent media, vehemently refusing to let Palestinians be rendered mute and passive subjects of reporting. She restores human dignity to victims, grants them voice and identity, advocates for resistance on their behalf, grieves for them, thus affirming that their lives are worthy of being lived.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
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".