MétaCan
Menu
Back to cohort
Record W4367159120 · doi:10.7202/1080934ar

ZORA NEALE HURSTON

2021· article· en· W4367159120 on OpenAlexaff
Joan Mason-Grant

Bibliographic record

VenueCulture · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsWestern University
Fundersnot available
KeywordsRealmDeconstruction (building)AestheticsSociologyProletariatSubject (documents)LiteratureArtPoliticsHistory

Abstract

fetched live from OpenAlex

The life-work of novelist/essayist/folklorist Zora Neale Hurston has been recently and lovingly salvaged from the black hole of literary oblivion. This reclamation occurs during a time of increasing attention paid to marginalia within various discourses of theory. This theoretical and historical coincidence has inspired me to question the continued relegation of Hurston’s life-work to the realm of “the literary” and the virtual absence of any serious exploration of its anthropological significance. In this study, therefore, I turn to Hurston as a writer of culture. I argue that Hurston’s work exemplifies the increasingly complex contemporary “field” in which anthropologists write culture, and thus animates the contemporary rethinking underway regarding the process, product and status of ethnographic writing. Her writing of culture weaves intriguingly back and forth over the boundaries of fiction and non-fiction, white culture and black culture, wealthy urban class and poor rural class, and, perhaps most interestingly, ‘subject’–anthropologist and ‘object’-culture. In tracing the sense in which Hurstons’s work continuously problematizes such simple we-they oppositions and the search for a singular voice, I argue that the theoretical insights of deconstruction take us a long way in understanding the politics of representation at work in Hurston’s heterogeneous texts, and help us to rethink their status as ‘representational’.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.755
Threshold uncertainty score1.000

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)0.0040.001

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 head0.030
GPT teacher head0.345
Teacher spread0.315 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueCultureSame topicGeographies of human-animal interactionsFrench-language works237,207