The cultural omnivore hypothesis applied to reading habits: a test of novelty-seeking and intrinsic motivation as explanatory factors
Bibliographic record
Abstract
According to the cultural omnivore hypothesis, higher class individuals possess a broader palette of tastes and preferences when it comes to leisure consumption. Although potential explanations of this pattern have been suggested, little research done to explore potential explanatory factors for this relationship. We set out to test the often-speculated explanatory factor openness to experience and drew on other class-focused theory. Namely, the notion of class as culture was used to test an additional explanatory factor, intrinsic motivation. For the present analyses, we examined the relationship between socio-economic status (SES), and breadth of book genre readership using Canadian secondary data, specifically the Survey of Reading and Buying Books 2005. The results from a linear regression analysis between SES and number of book genres read supported the cultural omnivore hypothesis. Additionally, both openness and intrinsic motivation were shown to help mediate this relationship, suggesting they may help explain the cultural omnivore.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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 source (direct Gemma or distilled Codex), 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".