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Record W2903787989 · doi:10.15402/esj.v3i2.337

Relationship, Accountability, Justice: A Conversation about Community-Engaged Research

2018· article· en· W2903787989 on OpenAlexaffvenueabout
Sarah Bühler, Sue Delanoy, Amanda Dodge, Chantelle Johnson, Jason Mercredi, Heather J. Peters, Stan Tu’Inukuafe

Bibliographic record

VenueEngaged Scholar Journal Community-Engaged Research Teaching and Learning · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsConversationAccountabilityPrisonEconomic JusticePolitical scienceWork (physics)SociologyPublic relationsPublic administrationOrder (exchange)LawBusinessEngineering

Abstract

fetched live from OpenAlex

In 2015, a coalition of six Saskatoon community organizations (the Elizabeth Fry Society of Saskatchewan, AIDS Saskatoon, STR8 UP 10,000 Little Steps to Healing, Inc., the Mennonite Central Committee, the Micah Mission, and Community Legal Assistance Services for Saskatoon Inner City [CLASSIC])1 and a university researcher (Sarah Buhler from the University of Saskatchewan College of Law) came together to address the issue of telephone access in Saskatchewan’s provincial correctional centres. Together we established an informal research coalition that we called “Project Access.” The issue of telephone access in provincial prisons had been identified by the six community organizations through their ongoing work with prisoners and former prisoners. Specific concerns included the exorbitant costs of the prison telephone system and unfair and uneven application of policies regarding telephone access. As we met to discuss the issue, it became clear to us that in order to advocate effectively for changes to the system, we needed to research the issue and to learn more about the ways the current telephone access policies were being implemented in provincial prisons.

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)0.128
metaresearch head score (Gemma)0.095
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.872
Threshold uncertainty score0.678

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1280.095
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0050.006
Science and technology studies0.0900.176
Scholarly communication0.0380.051
Open science0.0070.034
Research integrity0.0350.068
Insufficient payload (model declined to judge)0.0040.001

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 head0.384
GPT teacher head0.531
Teacher spread0.147 · 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 designQualitative
DomainMethods
GenreEmpirical

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
Published2018
Admission routes3
Has abstractyes

Explore more

Same venueEngaged Scholar Journal Community-Engaged Research Teaching and LearningSame topicSocial Work Education and PracticeFrench-language works237,207