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Record W2778912181 · doi:10.1093/ahr/122.5.1501

AHR Conversation: Walls, Borders, and Boundaries in World History

2017· article· en· W2778912181 on OpenAlexaff
Suzanne Conklin Akbari, Tamar Herzog, Daniel Jütte, Carl H. Nightingale, William W. Rankin, Keren Weitzberg

Bibliographic record

VenueThe American Historical Review · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicAnthropology: Ethics, History, Culture
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsConversationHistoryLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

Since 2006, the AHR has published nine “Conversations,” each on a subject of interest to a wide range of historians.1 For each the process has been the same: the Editor convenes a group of scholars with an interest in the topic, who, via e-mail over the course of several months, conduct a conversation, which is then lightly edited and footnoted, finally appearing (with one exception) in the December issue. The goal has been to provide readers with a wide-ranging consideration of a topic at a high level of expertise, in which the participants are recruited across several fields and periods. It is the sort of publishing project that this journal is uniquely positioned to undertake. This year’s topic, “Walls, Borders, and Boundaries in World History,” has an obvious contemporary relevance, most dramatically in the calls to “Build That Wall” that were a shrill trope in the recent U.S. presidential campaign. Beyond this, the specter of building walls, defending borders, and reasserting boundaries haunts political life in many parts of the world, from the wall separating Israel and the Palestinian territories; to the potential redrawing of the boundaries of several nation-states, as regions—Kurdistan in Afghanistan, Catalonia in Spain—attempt to assert their independence; to the oft-heard pleas for borders to be policed or even closed in the face of what seems to be a worldwide refugee crisis. Contemporary public discourse on this subject is usually cast in moral terms: walls are seen as either good or bad; boundaries and borders are viewed either as regrettable obstacles to the virtues of openness and cosmopolitanism or as necessary to keep out things and people deemed undesirable. Our conversation will certainly attend to the contemporary aspects of our topic, but we want to add a historical perspective to thinking about “walls, borders, and boundaries,” while also remaining alert to the methodological and theoretical problems encountered in attempting to make sense of the many different phenomena and experiences evoked by our topic.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.202
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.013
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.066
GPT teacher head0.376
Teacher spread0.309 · 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
GenreReview

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

Citations18
Published2017
Admission routes1
Has abstractyes

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