MétaCan
Menu
Back to cohort
Record W2938354412

Review of Henning Schmidgen, Bruno Latour in Pieces: An Intellectual Biography . Translated by Gloria Custance. New York: Fordham University Press, 2014. xvi + 175 pages

2019· article· en· W2938354412 on OpenAlexaff
Shannon Michael O’Rourke

Bibliographic record

VenueAnalecta hermeneutica · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicHistory of Science and Medicine
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsBiographyEthnographyArt historySociologyHermeneuticsPhilosophyEpistemologyArtAnthropology
DOInot available

Abstract

fetched live from OpenAlex

Bruno Latour in Pieces (BLP) offers a brief but extensive introduction to Latour’s education, career, collaborations, and collaborators. BLP is Latourean in its insistence on pointing to the “ego, hic, nunc”. By following Latour’s method of indexing, of pointing to people, places, and times, Schmidgen aptly follows Latour. Like any biography worth its salt, Schmidgen’s research follows the influences that played a role in transforming Latour into the thinker he is, but also plays it close to the ear by not only articulating the bibliographical information, but in attempting a genealogy of Latourian philosophy. Schmidgen reveals the sources of a rearticulation of many key Science and Technology Studies themes in relationships developed in biblical hermeneutics through his ethnography of the Guillemin’s Laboratory. BLP is after all an “intellectual biography,” so it is hardly surprising that Schmidgen attempts what his project plainly sets out to do. But, what is pleasantly surprising is the interconnected mosaic generated in graphing historical bibliographical details onto Latour’s intellectual development. The imagine of Latourian studies is circulated, and in turn transformed (there is no circulation, no translation, without transformation), but what is up for debate is whether these transformations are felicitous in maintaining the relationships that make them possible.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.441
Threshold uncertainty score0.998

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)0.0030.000

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 head0.034
GPT teacher head0.226
Teacher spread0.193 · 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.

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

Citations0
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueAnalecta hermeneuticaSame topicHistory of Science and MedicineFrench-language works237,207