Borders, Human Itineraries, and All Our Relation
Bibliographic record
Abstract
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 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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.080 |
| Scholarly communication | 0.020 | 0.016 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.007 | 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".