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.
Bibliographic record
Abstract
Davies (emer., Univ. of Reading, UK) is perhaps the most eminent of the sadly limited number of sociologists who have considered humor worthy of serious study. Here he focuses on cataloging and analyzing various types of jokes, ranging from 'stupid and canny' through blond and lawyer to Jewish and Soviet-era jokes. The sheer coverage of this work is most impressive; after a close reading, it becomes clear that Davies's various interpretations deserve serious consideration. For example, he maintains that people who generally regard themselves at the center of things tell 'stupid' jokes about those they consider to be at the geographical and linguistic margins-hence 'Irish' jokes in the UK or 'Newfie' jokes in Canada. Other jokes are told about 'static' groups (aristocrats, peasants, dumb blonds) in a rapidly changing world. Davies makes two contestable claims. He warns correctly against absolutist interpretations of jokes: context is everything. More arguably, he claims that jokes have no social consequences. Narrowly, this might be so, but one could argue that his disregard of 'ideological framing,' whereby soft joke 'othering' facilitates harder versions, is unjustified. Throughout, Davies maintains a lively, provocative style-refreshing in a genre that is all too commonly soulless. Summing Up: Highly recommended. General readers and all levels of sociology scholarship. -Choice
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 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 | 0.000 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 it