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Record W6991301652

The Garden in the Machine: Grace Lee Boggs’s Living for Change: An Autobiography and Detroit’s Urban-Agrarian Future

2021· article· en· W6991301652 on OpenAlexaboutno aff

Bibliographic record

VenueSmith ScholarWorks (Smith College) · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicAsian American and Pacific Histories
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Asian americansPeriod (music)Face (sociological concept)Asian studiesBiography
DOInot available

Abstract

fetched live from OpenAlex

'The Garden in the Machine: Grace Lee Boggs’s Living for Change: An Autobiographyand Detroit’s Urban-Agrarian Future" is chapter two of part one: Neoimperialisms, Neoliberalisms, Necropolitics in Asian American Literature in Transition, 1996-2020: Volume 4, edited by Betsy Huang, Victor Román Mendoza This volume examines the concerns of Asian American literature from 1996 to the present. This period was not only marked by civil unrest, terror and militarization, economic depression, and environmental abuse, but also unprecedented growth and visibility of Asian American literature. This volume is divided into four sections that plots the trajectories of, and tensions between, social challenges and literary advances. Part One tracks how Asian American literary productions of this period reckon with the effects of structures and networks of violence. Part Two tracks modes of intimacy - desires, loves, close friendships, romances, sexual relations, erotic contacts - that emerge in the face of neoimperialism, neoliberalism, and necropolitics. Part Three traces the proliferation of genres in Asian American writing of the past quarter century in new and in well-worn terrains. Part Four surveys literary projects that speculate on future states of Asian America in domestic and global contexts.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.926
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0040.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.014
GPT teacher head0.278
Teacher spread0.264 · 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.

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
Published2021
Admission routes1
Has abstractyes

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