Bibliographic record
Abstract
Christie Davies. Jokes and Targets. (Bloomington: 2011, Indiana University Press. 328 pp. ISBN: 978-0-253-22302-9) In Jokes and Targets, Davies explains how certain joke cycles that have targets move throughout time and place. Specifically, as his title suggests, he explores how certain groups of people have become the targets of certain scripts. In considering jokes as social facts, Davies focuses on the social and political contexts that give jokes meaning in order to understand the nature of targets. His objective for this text, which becomes clear only in the conclusion, is to build upon and refine his previous models of jokes and their targets. Working towards a grand theory of jokes and targets, Davies asserts that his center-periphery model (1990), monopoly-competition model (2009), and mind-over-matter model further elucidated in this text should be used together to fully grasp the place of jokes in society. The text is organized into six chapters that center on either a target or script that targets. The joke cycles, or themes, examined are: jokes about stupidity and canniness, libidinous blondes and people, Jewish people, men's sexuality, American lawyers, and the Soviet Union. Jokes about the French, lawyers, and Jewish men and women are explained in terms of their historical and political contexts, whereas jokes for which there is no set target (for example those about stupidity) are explained by drawing connections between targeted groups. These differences in analytical approaches can at times obfuscate the purpose of the text, but the contrasts raise further questions that others can build upon. Chapter One, Mind Over Matter, groups stupidity jokes and canny jokes into one cycle based on the dichotomy between mind and body (47), intelligence and the material (67). This chapter covers extensive ground, discussing eight target groups, ranging from the militia to blondes. Readers gain a more generalized view of stupidity and canny joke scripts rather than the specific contexts of each target group. It is mainly this chapter on the mind-over-matter model that Davies connects to his previous work. Chapter Two begins with a brief examination of sex jokes about blondes and then focuses for the majority of the chapter on sex jokes about people. The contextualization and analysis of jokes is the strongest section of the book; the chapter would have more coherence if the section on blonde women was omitted. Davies concludes that while blonde jokes are not actually about blondes (they are about specific values of beauty), jokes are about the French (112). This difference raises issues that scholars could pursue in the future: what types of meanings arise from contrasting jokes with set targets and joke scripts without set targets? The rest of the book presents similar issues with different targets and scripts. Chapter Three delves into various joke scripts about Jewish femininity and masculinity that have been created and told both by Jewish and non-Jewish people. In Chapter Four Davies examines two types of joke scripts about men: intimacy in homosocial situations and homosexual or feminine men. Chapter Five examines the American lawyer joke cycle and ties its movement and meaning to the American political system. The final cycle Davies examines is Soviet Union jokes created by citizens to criticize the former state. Because of the varying nature of scripts in each cycle, the organization of theoretical work can at times be confusing. Some chapters seem to he based on a target and the various scripts told about the target, such as the chapters on people and lawyers; other chapters appear to focus on open-ended cycles that contain various scripts and targets within, such as Chapter One. …
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".