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2023· paratext· en· W4328051326 on OpenAlexaboutno aff

Bibliographic record

VenueSociology of crime, law and deviance · 2023
Typeparatext
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsPrisonIndex (typography)Political scienceCriminologySociology

Abstract

fetched live from OpenAlex

Absenteeism, 208 Access to information (ATI), 110 Act CLIV of 1997 on Health Care, 146 Action research orientations, 261 Action-oriented research investigations, 261 Activities theory, 90 Advocacy, 252 Agency personnel, 214 Aggravated assault, 90 Airborne pathogens, 233 Alarm stage, 210 Albertsons, 95 Alcohol, 35 American Correctional Association, 253 American jails, 229 American prisons, 229 Anti-pandemic dispositions, 161 Apparel & clothing stores, 91-93 Apparel, 88 Arab population, 79 Arab society, 78, 83 in Israel, 82 Arabs, 78, 83 sector, 84 Article 339 of Constitution, 160 Asian Americans and people of Asian/Pacific Islander (AAPI), 129 Attempted homicide, 77 Authorisation Act, 146-149 in Hungary, 145 Bayesian inferential methods, 217 Bayesian modeling, 217 Beals (specialty stores), 91 Bivariate analyses, 61 Bureau of Justice Statistics (BJS), 229-230, 244, 258 Burglary, 90, 93 Buy-online-pick-up-in store, 95 Bystanders, 65 Canada COVID-19 response behind bars in, 111 open government in, 113 pandemic on incarceration in, 109 prison authorities in, 113 provincial-territorial prison authorities in, 109 Canadian Civil Liberties Association (CCLA), 109 Canadian prisons, 108 CAP Index, 90 Carceral clawbacks, 115 Carceral system responses to COVID-19, 233 decarceration, 236 facilitation of access to medical services, 234-235 restricted movement and visitation, 235-235 screening measures, 233-234 Cardiovascular disease, 230 Center for Disease Control and Prevention (CDC), 174, 232 guidelines, 211 Centre for Access to Information and Justice (CAIJ), 108 Chicago Police Department, 183 Child maltreatment, 59 Chronic illnesses among incarcerated offenders, 230 Chronic obstructive pulmonary disease, 230 Citizens perceive police at early stages of pandemic, 198 Clairs, Gap Inc., 91 Cleaning supplies, 233 Clickbait media, 126 INDEX Closing dressing rooms, 93 Closure of businesses, 76, 195 Closure of schools, 56, 164 Clothing, 88, 93 Coding protocols, 127-128 Collaborative working relationships, 267 Committee of Experts, 17 Committee of Experts of the Follow-up Mechanism of the Convention of Belém do Pará (MESECVI), 16 Committee of the Parties, 15-16 Committee on Economic, Social and Cultural Rights (CESCR), 11 Communicable diseases, 247 Communities, 131 Community policing outreach activities, 175 Comorbidities, 230 Computer bulletin boards, 177 Conspiracy theories, 179 Constitution, 143, 159, 164 Constitutional Court, 162 Constitutional provision, 146 Continual engagement, 182 Convenience stores & gas stations, 98-99 Convention Against Torture and Other Cruel, Inhuman, or Degrading Treatment or Punishment (1984), 251 Convention on the Rights of the Child (1989), 251 Coronavirus, 244 concerns, 132 from coronavirus to crime, 132-134 Correctional facilities, 232, 249 medical care, 250 Correctional officials, 236 Correctional Service Canada (CSC), 111 Correctional settings, PAR in, 261-262 Correctional systems, 230, 234, 249, 252 Counter-majoritarian mechanisms, 162 COVID-19, 134, 156, 158, 174, 228-229, 233, 244 advice requests, 62-63 carceral system responses to, 233-236 INDEX Inter-American Commission on Human Rights, 17 Inter-American Convention on Prevention, 11 Inter-American human rights system, 16 Interaction Strategy, 181-183 Interamerican interpretation, 162 International bodies, 12 International Convention on Elimination of all Forms of Racial Discrimination (1965), 251

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)0.001
metaresearch head score (Gemma)0.005
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 score0.153
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.006
Science and technology studies0.0020.001
Scholarly communication0.0100.006
Open science0.0020.004
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.8470.863

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 head0.035
GPT teacher head0.358
Teacher spread0.323 · 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
Published2023
Admission routes1
Has abstractyes

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