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Record W3217035694 · doi:10.15353/jirr.v4.1681

Starbucks and Aristotle

2021· article· en· W3217035694 on OpenAlexaffvenue
Anna S. Buhrmann

Bibliographic record

VenueJournal of integrative research & reflection · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicMedia Studies and Communication
Canadian institutionsMcMaster University
Fundersnot available
KeywordsCommodificationFlourishingCivic virtueDemocracyPleasureCivic engagementSociologyCorporationPublic relationsSpace (punctuation)Political scienceSocial psychologyPoliticsPsychologyLaw

Abstract

fetched live from OpenAlex

Aristotle argued that democratic participation in decision-making rests on informal encounters between citizens, because these interactions help to build civic friendships. In modern-day North America, the Starbucks corporation has posited itself as a “third place”, a space other than work and home that acts as a theatre for the development of civic friendships. In this essay, I investigate whether visiting Starbucks allows customers to connect to their larger community by providing the opportunity for meaningful social interaction. While Starbucks’ marketing strategies capitalize on the human desire for belonging, its expensive brand succeeds in differentiating citizens by their socioeconomic status, thereby undermining social unity. Furthermore, the environment in Starbucks stores emphasize experiences of personal pleasure rather than the enjoyment of community, as evidenced by the lack of authentic civic dialogue occurring within these spaces. As it encourages customers to settle for less than the formation of civic virtue, Starbucks’ commodification of community may challenge the flourishing of contemporary democracy.

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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.685
Threshold uncertainty score0.515

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.150
GPT teacher head0.507
Teacher spread0.356 · 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 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

Citations1
Published2021
Admission routes2
Has abstractyes

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