2020-November-13-TNIPH to expand Correctional Career Pathways
Bibliographic record
Abstract
Ginny Kidwell, TNIPH Executive Director “Reintegrating inmates as contributing members of society will positively impact the social and economic well-being of participating communities by redirecting money and social capital and by strengthening families." JOHNSON CITY (Nov. 13, 2020) – The Tennessee Institute of Public Health (TNIPH) at the East Tennessee State University College of Public Health has been awarded a second grant from the Appalachian Regional Commission (ARC) to further expand the Correctional Career Pathways program in Appalachian Tennessee. The first of its kind in the state, and possibly nationally, the Correctional Career Pathways (CCP) program began in the Greene County, Tennessee Workhouse in 2015. The program gives non-violent offenders in local jails the opportunity to break the cycle of arrest and incarceration and transition into the workforce. TNIPH was successful during 2018-2019 in developing a framework to provide a well-defined roadmap and technical assistance to replicate the program in Grundy and Scott counties, two “distressed” Appalachian Tennessee counties. To date, approximately 230 inmates have completed the CCP classes, with about 60% of those working while still incarcerated. “Obviously the COVID-19 pandemic has wreaked havoc on the numbers currently working, since county jails are still on lock-down,” said TNIPH Executive Director Ginny Kidwell. “But we are adapting to ensure that this important program continues to make a difference in inmates’ lives.” The new project, led by Kidwell, will systematically offer funding, leadership, training, infrastructure and recovery services to replicate the CCP program in three additional ARC-designated “distressed” and “at-risk” communities. Funds will be awarded through a region-wide competitive process to eligible communities. Adaptations to meet the challenges of the COVID-19 pandemic will be required in the next round, and certain components of the program will require a virtual platform. A new comprehensive peer recovery component also will be incorporated into the model in partnership with Ballad Health to address substance use disorder and mental health issues among participating inmates. In addition to the ARC, partners supporting this program are Ballad Health, the ETSU Center for Rural Health Research, the East Tennessee Foundation and the Niswonger Foundation. “This project raises the profile of prisoner reentry as important public health and economic issues, and not only as criminal justice and corrections matters,” said Kidwell. “Reintegrating inmates as contributing members of society will positively impact the social and economic well-being of participating communities by redirecting money and social capital and by strengthening families. “Prescription drug abuse is a pervasive multi-dimensional issue impacting individuals, families and communities,” she added. “CCP is based on a compassionate formula to empower, not simply punish, inmates through job opportunities and a broad range of interventions to provide increasingly important recovery support services to assist inmates with mental illness, substance abuse or co-occurring disorders.” The project team will be led by Kidwell with Kristine Bowers, TNIPH evaluator; Dara Young, academic advising coordinator for health sciences in the College of Public Health; Sam Pettyjohn, research assistant professor, Center for Rural Health Research; Kimberly Gass, Greene County Technology Center career counselor; Casey Carringer, director of clinical engagement, Department of Population Health, Ballad Health; and Jason Pritchard, recovery program manager, Department of Population Health, Ballad Health, serving as project team members. The Appalachian Regional Commission is a regional economic development agency that represents a partnership of federal, state, and local governments. Established by an act of Congress in 1965, ARC is composed of the governors of the 13 Appalachian states and a federal co-chair, who is appointed by the president. The Tennessee Institute of Public Health in the ETSU College of Public Health is a lead statewide convener of organizations, agencies and groups designed to build and foster the collaborations necessary to improve population health. For further information about TNIPH or this project, please contact Ginny Kidwell at 423-439-4651 or kidwell@etsu.edu.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.495 | 0.257 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".