MétaCan
Menu
Back to cohort
Record W2811313358 · doi:10.22439/fs.v0i24.5530

Governing the Voice: A Critical History of Speech-Language Pathology

2018· article· en· W2811313358 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueFoucault Studies · 2018
Typearticle
Languageen
FieldHealth Professions
TopicInterpreting and Communication in Healthcare
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsBiopowerDeviance (statistics)Normalization (sociology)DemocracyProductivitySociologyLinguisticsPolitical scienceSocial sciencePoliticsLawComputer scienceEconomicsPhilosophy

Abstract

fetched live from OpenAlex

This essay argues that Speech-Language Pathology (SLP) emerged as a response to the early twentieth-century demand for docile, efficient, and thus productive speech. As the capacity of speech became more central to the industrial and democratic operations of modern society, an apparatus was needed to bring speech under the fold of biopower. Beyond simple economic productivity, the importance of SLP lies in opening the speaking subject up to management and normalization—creating, in short, biopolitical subjects of communication. We argue that SLP accordingly emerged not as a discreet institution, but as a set of practices which can be clustered under three headings: calculating deviance, disciplining the tongue, and speaking the truth of pathologized subjects.

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.

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)0.001
metaresearch head score (Gemma)0.005
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 score0.412
Threshold uncertainty score0.687

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.143
GPT teacher head0.517
Teacher spread0.374 · 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