MétaCan
Menu
Back to cohort
Record W3006737444

Review of Bruno Latour, Down to Earth: Politics in the New Climatic Regime . Cambridge: Polity Press, 2017. 140 pages.

2020· article· en· W3006737444 on OpenAlexaff
Andrew Ahern

Bibliographic record

VenueThe Journal of Macrodynamic Analysis (Memorial University of Newfoundland) · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicClimate Change, Adaptation, Migration
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsPolityPoliticsGlobalizationNeoliberalism (international relations)IdeologyPolitical economyPolitical scienceClimate changeSociologyAtmosphere (unit)Media studiesEnvironmental ethicsLawGeographyPhilosophyMeteorology
DOInot available

Abstract

fetched live from OpenAlex

Down to Earth: Politics in the New Climatic Regime, is Latour's analysis of the many political problems of today, including mass migration and worldwide inequality, all while the issue of climate change hangs in the global communities' political and intellectual atmosphere exacerbating these phenomena.Coming in at a short 106 pages of text, Latour argues that it is not adherence to "the facts" or bigoted ideologies that is the central political problem of our time, but that the vision of a common world has been abandoned-hence the explosion of inequalities, mass migration, and climate change denial all corresponding to the era known as "deregulation," "globalization," or "neoliberalism."Modernization, argues Latour, has been abandoned, and what the global community has entered is the "New Climatic Regime."Latour touches upon many themes in this compact book: migration, class warfare, populism, climate change denial, the shortcomings of modernization, the concept of Nature, and more.One of Latour's political contributions from Down to Earth is his attempt of a new division replacing the political left and right.As Latour writes, Do we continue to nourish dreams of escaping, or do we start seeking a territory that we and our children can inhabit?Either we deny the existence of the problem, or else we look for a place to land.From now on, this is what divides us all, much more than our positions on the right or the left side of the political spectrum.( 5)In other words, politics and how we organize our political institutions, according to Latour, is now centered on the question of whether we direct our attention down to earth or if we ignore the problems and attempt to escape them-either by gated communities, climate denial, Teslas in space, stricter borders, or more concentrated wealth.The ethos of being down to earth connects with Latour's other political creation, what he calls the Terrestrial.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.330
Threshold uncertainty score0.955

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.065
GPT teacher head0.290
Teacher spread0.225 · 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 designQualitative
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
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of Macrodynamic Analysis (Memorial University of Newfoundland)Same topicClimate Change, Adaptation, MigrationFrench-language works237,207