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Record W4401534466 · doi:10.31857/s0321507524080084

May Ayim: To Be Black

2024· article· en· W4401534466 on OpenAlexaboutno aff
Alexandra E. Gavryusheva

Bibliographic record

VenueAsia and Africa today · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicGerman Colonialism and Identity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGermanPoliticsIdentity (music)RacismResistance (ecology)PerceptionSociologyPoetrySpace (punctuation)Quarter (Canadian coin)Literary criticismGender studiesHistoryAestheticsPolitical scienceLiteratureArtLawPsychologyLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

The article considers the complexity of the search for identity by the Afro-Germans in the last quarter of the 20th century based on the life path of the prominent teacher, poetess and activist May Ayim. The author presents a number of stages of her literary, scientific and educational activities. And examines the specifics of May Ayim’s self-awareness in the creative direction, studying of legacy and resistance in her poems and essays, as well as the integration of her work into the German-language literary space. Drawing on her literary contributions, political activism, and struggles against racism and discrimination, this article sheds light on Ayim’s impact on the Afro-German community and her enduring legacy in the German literary landscape. The article examines the problems of perception of Afro-Germans in Germany at the turn of 1980-1990, as well as May Ayim’s personal contribution to activist activities in Germany. This research aims to celebrate Ayim’s personal contribution to Afro-German literature and to changing the situation regarding Africans and half-breeds in Germany.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.649
Threshold uncertainty score0.951

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.037
GPT teacher head0.247
Teacher spread0.210 · 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 designNot applicable
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

Citations0
Published2024
Admission routes1
Has abstractyes

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