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Record W4324121898 · doi:10.5771/9783748937968

Angriffe auf Rettungskräfte

2023· book· en· W4324121898 on OpenAlex

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

VenueNomos Verlagsgesellschaft mbH & Co. KG eBooks · 2023
Typebook
Languageen
FieldSocial Sciences
TopicGerman Security and Defense Policies
Canadian institutionsnot available
Fundersnot available
KeywordsOutrageQuarter (Canadian coin)PoliticsCriminologyPolitical sciencePublic relationsPsychologyHistoryLawArchaeology

Abstract

fetched live from OpenAlex

Attacks on rescue workers often generate a great deal of media coverage. The reporting is often limited to the description of individual, particularly incisive attacks on those who actually want to provide help. The public outrage is palpable and the reporting also leads to a sensitization of society, politics and the affected rescue workers themselves. The quantitative dark field study is based on a broad survey of about a quarter of all rescue workers in Rhineland-Palatinate. It provides new insights into the extent of violence, perpetrators, crime scenes, victims, causes and prevention options.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.183
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0010.016

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 head0.046
GPT teacher head0.332
Teacher spread0.287 · 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