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Record W6947880591 · doi:10.3886/icpsr37452.v1

Using Gatekeeper Training as a CVE Tool: Replication and Evaluation of a Gatekeeper Program in Prince George's County, Maryland, United States, 2019

2020· dataset· en· W6947880591 on OpenAlexaboutno aff

Bibliographic record

VenueICPSR Data Holdings · 2020
Typedataset
Languageen
FieldEarth and Planetary Sciences
Topic3D Surveying and Cultural Heritage
Canadian institutionsnot available
Fundersnot available
KeywordsGatekeepingReplication (statistics)Qualitative researchExploratory researchProgram evaluationConfidentiality

Abstract

fetched live from OpenAlex

This study evaluated Global Citizen's Forum (GCF), an afterschool youth program designed as a peer gatekeeping program in the area of violent extremism. GCF was implemented in two private high schools in Maryland during spring of 2019. Although the study was designed as a quasi-experimental research with pre/post testing of treatment and control groups, implementation challenges resulted in design problems and a small sample, allowing only for exploratory study. The preliminary results suggest that GCF is associated with some statistically significant gains in participants' knowledge and attitude. The study also presents team's qualitative findings as well as GCF replication framework and financial cost analysis. An assessment of the GCF implementation experience and related observations indicates that GCF may be difficult to replicate due to community sensitivities about accepting the violent extremism threat and the ability of service providers to teach the GCF curriculum. For conclusive and reliable results, this study needs to be replicated with participation of a larger sample.

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 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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.283
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.150
GPT teacher head0.346
Teacher spread0.196 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreDataset

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
Published2020
Admission routes1
Has abstractyes

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