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Record W6891791556 · doi:10.48448/vw2h-3y30

Everyday Interaction and Care in a Southern Peruvian Clinic

2022· other· en· W6891791556 on OpenAlexaboutno aff

Bibliographic record

VenueUnderline Science Inc. · 2022
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsGovernment (linguistics)IndigenousEveryday lifeDistrustEthnographyRhetoricEntitlement (fair division)PoliticsNarrative

Abstract

fetched live from OpenAlex

In everyday life, government institutions engage in a wide variety of functions that can be described as providing ‘care’ to the populace. However, there is often a gap between the ‘rhetoric of care’ espoused by institutional spokespeople and the realities of how care functions in people’s everyday lives (Pinto 2014; Stevenson 2014; Biehl 2005), producing tensions of uncertainty, doubt, anxiety, anger, creativity, and even humor. Through diverse methods such as archival research, ethnographic encounters, and multimodal discourse analysis, our papers investigate this gap between institutional certainties and everyday doubts generated in the space of care. In both Canada and Peru, for example, there is a particularly stark contrast between government rhetoric on Indigenous relations and the lived realities of Indigenous peoples (Huayhua 2014; 2016; Niezen 2013; MacLachlan 2013). In medical and legal discourse there is often a discontinuity between the registers spoken by experts and by service recipients that can serve to increase distrust and anxiety at the expense of the effective distribution of care (Dumit 2012; Mol 2002; Conley and O’Barr 1998). Medical mechanisms of visibility, which try and often fail to produce knowable subjects must make repeated efforts to shore up certainty against the inevitable dissolution of diagnostic and narrative fact (Fleck 1979). While this work helps to create subjects that can be diagnosed, treated, and recorded, it often does so at the cost of silencing patient’s disorderly truths (Pinto 2014). Discourse analyses (Wortham, Reyes 2015) of political speech, like those produced during the COVID19 pandemic, reveals the ‘dissonant discourses’ used by government spokespeople, riddled with uncertainties and contradictions. Often these tensions get glossed over in discourse through the use of metaphor (Charteris-Black 2011; Lakoff 1991), leaving the public without a language for their everyday struggles. These tensions between institutionally produced facts and everyday uncertainties are diverse and instructive. Uncertainty can function as both a debilitating aporia (Derrida 1992; Bubandt 2014) and a creative force (Cooper, Pratten 2015). Using this lens, we note how an aura of institutional uncertainty underpins all of social life, constantly threatening dissolution (Boltanski 2011). However, we also examine how uncertainty is not just an inert atmosphere, it is also generated in contingent social relations (Whyte 2015; Berthomé et al 2012), in inscrutable relations of power (Bonhomme 2012; Allard 2012; Lepselter 2016), and even in hopeful and doubtful modes of practice (Whyte 2005; Cooper, Pratten 2015). At its core, this panel seeks to ask how people live their everyday lives in the shadow of uncertainty by way of institutional power (Foucault 1980) and how the analysis of institutional ‘truths’ in the delivery of care can provide both contiguities and disruptions in our attempt to understand intersecting dimensions of contemporary life including indigeneity, health, and justice.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.088
Threshold uncertainty score0.176

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0190.006
Scholarly communication0.0030.002
Open science0.0020.008
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0130.001

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 head0.025
GPT teacher head0.322
Teacher spread0.297 · 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 source (direct Gemma or distilled Codex), 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
Published2022
Admission routes1
Has abstractyes

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