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Record W4404809873 · doi:10.1515/9780295800455

Beaten Down

2011· book· en· W4404809873 on OpenAlex
David Peterson del Mar

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueUniversity of Washington Press eBooks · 2011
Typebook
Languageen
FieldSocial Sciences
TopicGun Ownership and Violence Research
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Selected by Choice as an Outstanding Academic Title for 2003 The word “violence” conjures up images of terrorism, bombings, and lynchings. Beaten Down is concerned with more prosaic acts of physical force—a husband slapping his wife, a parent taking a birch branch to a child, a pair of drunken friends squaring off to establish who was the “better man.” David Peterson del Mar accounts for the social relations of power that lie behind this intimate form of violence, this “white noise” that has always been with us, humming quietly between more explosive acts of violence. Broad in its chronological and cultural sweep, Beaten Down examines interpersonal violence in Washington, Oregon, and British Columbia beginning with Native American cultures before colonization and continuing into the mid-twentieth century. It contrasts the disparate ways of practicing and punishing interpersonal violence on each side of the U.S.-Canadian border. Del Mar concludes that we cannot comprehend the causes and moral consequences of a violent act without considering larger social relations of power, whether between colonizers and original inhabitants, between spouses, between parents and children, or between and among different ethnic groups. The author has drawn on a vast array of vivid sources, including newspaper accounts, autobiographies, novels, oral histories, historical and ethnographic publications, and hundreds of detailed court cases to account for not only the relative frequency of different forms of violence, but also the shifting definitions and perceptions of what constitutes violence. This is a thoughtful and probing account of how and why people have hit each other and the manner in which opinion makers and ordinary citizens have censured, defended, or celebrated such acts. Del Mar’s conclusions have important implications for an understanding of violence and perceptions of violence in contemporary society.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.862
Threshold uncertainty score0.983

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.072
GPT teacher head0.274
Teacher spread0.202 · 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