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Record W2954112457 · doi:10.22230/cjc.2019v44n2a3339

The Microbiome as TED Knows It: Popular Science Communication and the Neoliberal Subject

2019· article· en· W2954112457 on OpenAlexaffvenue
Penelope Ironstone

Bibliographic record

VenueCanadian Journal of Communication · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicClimate Change Communication and Perception
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsNeoliberalism (international relations)CrowdsourcingSubjectivityBiopowerSubject (documents)IdeologySociologyCitizen scienceMarketizationVariety (cybernetics)Science communicationEnvironmental ethicsPolitical scienceSocial scienceMedia studiesEpistemologyScience educationPoliticsLaw

Abstract

fetched live from OpenAlex

Background Although criticized for a variety of reasons, TED platforms and conventions have been engaged, often uncritically, as tools for popular science communication. This article critically examines four TED Talks that engage the relatively recent biomedical concept of the human microbiome. Analysis Neoliberal values underpin both the TED universe and the marketization of science. TED conventions produce a discursive regularity that brings together neoliberal subjectivity and bioeconomic imperatives of contemporary scientific research. This neoliberalization is supported by uncritically championing citizen science and the so-called democratization of science alongside crowdsourcing and crowdfunding appeals. Conclusions and implications Uncritically embracing TED Talks can implicate science communication in the reproduction of problematic ideological positions that favour economic interests over the social good or even individual health.

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)0.006
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.915
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.003
Scholarly communication0.0010.001
Open science0.0020.000
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 head0.127
GPT teacher head0.383
Teacher spread0.256 · 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
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

Citations6
Published2019
Admission routes2
Has abstractyes

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