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Record W6998896226

Black Grammars: On Difference and Belonging

2022· other· en· W6998896226 on OpenAlexaboutno aff

Bibliographic record

VenueYork University Digital Library (York University) · 2022
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsDiasporaFrench hornNormativeSpace (punctuation)Perspective (graphical)Conceptual framework
DOInot available

Abstract

fetched live from OpenAlex

Black Grammars: On Difference and Belonging examines Blackness and difference from my perspective having come to Canada as part of the wave of Ethiopians and Eritreans that migrated to the West in large numbers in the 1980s and 1990s. In this dissertation, I make sense of growing up and living Black in Canada alongside and among other Black communities who have already settled and have been living in Canada for generations. This moment in the 80s and 90s and the emerging diaspora from the Horn of Africa coming to the West encountering Black communities already living here from previous waves of Black migration grounds the dissertation. \n \nBlack Grammars opens by analyzing Black and East African student groups in university as one site of this encounter of Black diasporas but also as a point of departure from which to examine how Black difference is thought and engaged in academic study. I draw on my own experiences growing up and attending school and university in Toronto. This project begins by analyzing Black and East African student groups in universities in Canada, and examines the space between these two identities and identifications that our presence opens up for theorization and analysis. I demonstrate how the limits of the conceptual terrain and the constraints represented by and between those two student groups come to be reproduced across Black Studies literature and normative research done on East African diasporas. This conceptual space forms the terrain and point of departure for this study. \n \nAs part of the method of this dissertation, I lay out a set of Scenes that lay out how Blackness and Black difference gets taken up in social and communal settings among Black people and how that same Black(ness) difference gets taken up in academic study. I cite incongruities, shortcomings and gaps that are left wanting. I conclude that Blackness and Black difference is taken up in much more engaging and complex ways amongst Black people in the everyday than academic study has heretofore been able to account for. Put differently, the ways Black Studies and African Diaspora Studies come to be constituted form the terrain on which the need and space for a concept like Black Grammars emerges. Attentive to this conceptual terrain and prevailing constraints, I posit Black Grammars as a theory of relationality that attempts to bring Black diasporas into sociality and conversation with each other. \n \nThe central question Black Grammars engages: how might we think Black difference otherwise? How do we account for and attend to the multiplicities of Blackness made ever more complex by the various trajectories that make up the fullness of the Black diaspora? Black Grammars is an analytic that attends to these gaps and inconsistencies and also centers ways Black people relate to each other in everyday contexts that is rooted in Black Diasporic Sociality. As a heuristic device, Black Grammars centers Blackness and Black difference and posits a theory of Black relationality that is anchored in the ways Black people play, politic and perform difference amidst and amongst themselves.

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 imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.180
Threshold uncertainty score0.357

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0170.066
Scholarly communication0.0070.008
Open science0.0010.011
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0050.000

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 head0.010
GPT teacher head0.153
Teacher spread0.143 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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