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Record W3208959352

SOC7213 CRIMES OF THE POWERFUL

2010· article· en· W3208959352 on OpenAlexaffabout
Sam Alvaro

Bibliographic record

VenueTRAILS: Teaching Resources and Innovations Library for Sociology · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicWildlife Conservation and Criminology Analyses
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsGlobalizationEliteClass (philosophy)Political scienceSociologyPosition (finance)Hard corePower (physics)CriminologyLawPoliticsBusinessEpistemology
DOInot available

Abstract

fetched live from OpenAlex

The University of Ottawa has over 30,000 students and has recently added a new interdisciplinary degree program: Globalization and International Development. A main area of concentration for this program is conflict and security in a globalizing world. The majority of students taking this class are expected to enter the diplomatic core, defense related employment or take a position with a non-governmental organization. This class is designed to explore the deviant nature of the power elite & globalization, and how this confluence produces a number of grey criminogenic areas. It also examines the current domestic and international regulations, laws and polices in place to police this phenomena. Crimes of the Powerful is a senior undergraduate seminar consisting of classes with 10-20 students and has been taught on different occasions as a selected topics course in the Criminology and Sociology Departments, it could also be adapted into a graduate level class.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.858
Threshold uncertainty score0.476

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.001
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1420.015

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 head0.021
GPT teacher head0.263
Teacher spread0.242 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2010
Admission routes2
Has abstractyes

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