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Record W4210438877 · doi:10.33137/cq.v6i2.35974

Bodegas, Baseball & Ballads: The Democratization of Puerto Rican Identity

2022· article· en· W4210438877 on OpenAlexaffvenue
Ruth Masuka

Bibliographic record

VenueCaribbean Quilt · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicLatin American and Latino Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDiasporaIdentity (music)DemocratizationGender studiesGovernment (linguistics)IdeologySociologyDemocracyCollective identityState (computer science)Citizen journalismPolitical scienceLawAesthetics

Abstract

fetched live from OpenAlex

Evident within many diasporic communities is a group consciousness and organization that operates in non-institutional spaces outside the realms of government agencies. The case of Puerto Ricans is no different and beyond collective organization, islanders in the diaspora went further in redefining the very criteria of Puerto Rican identity. This paper focuses on the migrant communities located in New York and the ways in which informal activities and non-institutional venues served as community centres. Food traditions, sporting competitions, and poetic practices all acted as cultural bases. Such activities fostered a democratic and participatory formation of Puerto Rican identity and played a critical role in the socio- economic development of migrants. These spaces also provided room for the complex nuances of Puertoricanness that were overlooked or purposely excluded from dominant ideologies by both the American and Puerto Rican government. Looking at bodegas, athletic clubs, and the Nuyorican Poets Cafe, we can observe the vital role of spaces outside the state’s control in facilitating an egalitarian and communal process of identity-making.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.101
Threshold uncertainty score0.200

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.004
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.029
GPT teacher head0.312
Teacher spread0.283 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2022
Admission routes2
Has abstractyes

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