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Record W2948102130 · doi:10.1086/703203

Emergent Meanings: Reconciling Dispositional and Situational Accounts of Meaning-Making from Cultural Objects

2019· article· en· W2948102130 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

VenueAmerican Journal of Sociology · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Cultural Dynamics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSituational ethicsMeaning (existential)SituatedSchema (genetic algorithms)Social psychologyObject (grammar)PsychologyEpistemologyVariety (cybernetics)SociologyLinguisticsComputer science

Abstract

fetched live from OpenAlex

Across a wide variety of topics and methodological approaches, researchers find that meaning is segregated along sociodemographic lines. Using real-world data, this article evaluates and helps reconcile the often-theorized but rarely tested mechanisms that segregate meaning. Shared meaning is defined as both greater agreement on a cultural object’s interpretive dimensions and a similar schema organizing how these interpretive dimensions interrelate. The setting is 21 book groups across the United States, all discussing the same previously unknown novel. The authors find that, through their interactions with similar others, the meanings individuals make out of cultural objects rapidly become demographically situated as individuals resonate with one another and the work itself. Results indicate that sociodemographically segregated meanings for even nonideological cultural objects may be the routine outcome of social structure and interaction. Researchers, by focusing largely on snapshots of segregated meanings on specific issues rather than on meaning-making processes, may contribute to an overly ingrained view of a divided culture.

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)0.000
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 score0.111
Threshold uncertainty score0.310

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.014
GPT teacher head0.311
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