Bibliographic record
Abstract
Scholars have debated the relative applicability of homology and omnivorousness, two theories of cultural stratification, for explaining links between socioeconomic position and cultural repertoires. However, the discussion has mostly focused on musical tastes rather than attendance at cultural activities. Using data from the 2010 Canadian General Social Survey on Time Use, I examine how measures of socioeconomic position predict attendance at 12 different kinds of cultural activities. I apply three analytical techniques to this data set: (1) binary logistic regressions to investigate the socioeconomic bases of attendance at each cultural activity; (2) ordered logistic regression to assess the nature of the relationship between socioeconomic position and omnivorous attendance; and (3) latent class analysis to identify clusters of attendance and the socioeconomic bases thereof. Controlling for demographic factors, I find that education and income are positively associated with attendance at each activity and with omnivorous cultural engagement. The latent class model reveals four distinct groups: highbrow omnivores, selective omnivores, univores, and inactive people. Education and income predict membership in the omnivorous groups, with stronger effects for highbrow omnivores. I confirm that omnivorousness is associated with cultural and economic elites, but also reveal different gradations of omnivorousness, thus suggesting that the two theoretical frameworks are to a degree entangled with one another.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".