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Record W2111815288 · doi:10.2979/meridians.12.1.149

Building the Neo-Archive

2014· article· en· W2111815288 on OpenAlexaboutno aff
Erica L. Johnson

Bibliographic record

VenueMeridians · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicCaribbean history, culture, and politics
Canadian institutionsnot available
Fundersnot available
KeywordsMemoirIdentity (music)ColonialismPoetryNewspaperHistoryLiteraturePortraitLife writingCriticismArtSociologyMedia studiesArt historyAestheticsBiography

Abstract

fetched live from OpenAlex

Abstract Dionne Brand's memoir, A Map to the Door of No Return: Notes to Belonging, touches on the author's childhood in Trinidad and adulthood in Canada but is equally concerned with understanding and intervening in the larger histories among which Brand situates her identity. A lush work of memories, poetry, and criticism, the work presents vignettes from the author's life alongside her meditations on writing, history, mapmaking, and most important for this essay, the archives. Brand's memoir is replete with supporting materials that range from ffteenth-century journals and letters to contemporary critical theory, from geographers' logs to films and pop culture. Her sources are rich and varied, and they can be broken down into three general types: the historical archives written during the “age of exploration” and the slave trade; the contemporary archives of newspapers and journals; and the creative archive of postcolonial writers, or what I am calling the neo-archive. Brand's memoir participates in an entire genre of postcolonial and in particular Caribbean literature that addresses the colonial archive. She thus provides a singular overview of the neo-archive by bringing many of these texts into dialogue with one another, and she explores as well the dialogue between such texts and the dozens of archival fragments she incorporates into her self-portrait.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.951
Threshold uncertainty score0.746

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.279
Teacher spread0.265 · 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

Citations8
Published2014
Admission routes1
Has abstractyes

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