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An Escalade, a Briefcase, and Respect: Latinx Youth’s Imaginings of Middle-Class Status and a Cosmopolitan Good Life in Nashville, Tennessee

2024· article· en· W4391824491 on OpenAlexvenueno aff
Andréa Flores

Bibliographic record

VenueAnthropologica · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Education and Societal Dynamics
Canadian institutionsnot available
FundersNational Academy of EducationRuth Landes Memorial Research FundBrown University
KeywordsClass (philosophy)Middle classSociologyGender studiesPolitical scienceLawPhilosophy

Abstract

fetched live from OpenAlex

Latinx immigrant-origin youth in Nashville, Tennessee—who are poised to be the first in their families to achieve middle-class status—strive toward a cosmopolitan future of professional work and disposable income. This social and economic mobility is imagined in relation to the racialization and stigmatization of Latinx people as exclusively working-class labourers and as the objects of a Southern, white cosmopolitan gaze. Through their aspirations, youth challenge existing local and global regimes of labour, consumption, and difference. With respect to work, youth seek to remake the white professional world in ways specific to their Latinx experience. In so doing, they reclaim the value of Latinx labour. They also look to engage in specific kinds of material accumulation that, while leading to tangibly more comfortable lives individually, also make their worth visible to others. Finally, youth’s views of a future defined by their ability to cross cultures and borders repositions their ethno-racial and linguistic difference as an asset rather than a liability. Moreover, this global orientation reorients cosmopolitanism away from a position of exclusively white and elite status. Collectively, these imaginings reveal that while middle-class aspirations may reinforce a colour line of class, they also potentially remake existing racialized hierarchies of class, mobility, and cosmopolitanism.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.433
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.041
GPT teacher head0.349
Teacher spread0.308 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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