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Record W4392568001 · doi:10.1215/9781478059769

Borders, Human Itineraries, and All Our Relation

2023· book· en· W4392568001 on OpenAlexaboutno aff
Dele Adeyemo, Natalie Diaz, Nadia Yala Kisukidi, Rinaldo Walcott, Christina Sharpe

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicLatin American and Latino Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRelation (database)GeographyComputer scienceDatabase

Abstract

fetched live from OpenAlex

The first annual Alchemy Lecture brings four deep and agile writers from different geographies and disciplines into vibrant conversation on a topic of urgent relevance: humans and borders. Borders, Human Itineraries, and All Our Relation captures and expands those conversations in insightful, passionate ways. Architect, artist, and urban theorist Dele Adeyemo (UK/Nigeria) calls attention to the complexity of Black infrastructures, questioning how “the environments that surround us condition the possibility of our being.” Poet Natalie Diaz (US/Mojave/Akimel O’otham) writes, “Like story, migration is the sensual movement of knowledge,” and asks, “What is the language we need to live right now?” Philosopher Nadia Yala Kisukidi (France) suggests there is no diasporic life “without the dynamics of fabulation, where we pass down, from generation to generation, the stories of our ancestors who walked barefoot for many months.” And cultural theorist Rinaldo Walcott (Canada) asks us to consider inheritances beyond white supremacist logics: “What might it mean to live a life, if we can’t risk desiring and working towards utopia?” As each alchemist considers the legacies of anticolonial struggle, the future of the planet, and the textures of Black and Indigenous life, their essays speak to each other in multiple ways, creating something startling and revelatory: a vision of the world as it is, and as it could be.

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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.442
Threshold uncertainty score0.527

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 head0.047
GPT teacher head0.351
Teacher spread0.304 · 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
GenreOther

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
Published2023
Admission routes1
Has abstractyes

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Same topicLatin American and Latino StudiesFrench-language works237,207