Bibliographic record
Abstract
Writing the Black Diasporic City in the Age of Globalization theorizes the city as a generative, “semicircular” social space, where the changes of globalization are most profoundly experienced. The fictive accounts analyzed here configure cities as spaces where movement is simultaneously restrictive and liberating, and where life prospects are at once promising and daunting. In their depictions of the urban experiences of peoples of African descent, writers and other creative artists offer a complex set of renditions of twentieth- and twenty-first-century Black urban citizens’ experience in European or Euro-dominated cities such as Boston, London, New York, and Toronto, as well as Global South cities such as Accra, Kingston, and Lagos—that emerged out of colonial domination, and which have emerged as hubs of current globalization. Writing the Black Diasporic City draws on critical tools of classical postcolonial studies as well as those of globalization studies to read works by Ama Ata Aidoo, Amma Darko, Marlon James, Cecil Foster, Zadie Smith, Michael Thomas, Chika Unigwe, and other contemporary writers. The book also engages the television series Call the Midwife , the Canada carnival celebration Caribana, and the film series Small Axe to show how cities are characterized as open, complicated spaces that are constantly shifting. Cities collapse boundaries, allowing for both haunting and healing, and they can sever the connection from kin and community, or create new connections.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.025 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".