How Has the Mass Incarceration of Women Changed West Virginia?
Bibliographic record
Abstract
In 1989, 80 women were sentenced to prison in West Virginia. At that time, women served their time at Pruntytown Correctional Center in Taylor County. The facility was a men’s prison where quarters were adapted for the small number of West Virginia women with felony convictions. By 2003, 14 years later, the state had spent $24.5 million to open Lakin Correctional Center, a maximum security prison with 302 beds, to deal with the rapidly growing number of women serving prison sentences in the state. Three years later, in 2006, the state spent another $6.2 million to expand the facility to 462 beds. In 2016, 622 women were sentenced to prison, an increase of more than 677% from 1989. Though Lakin expanded to 584 beds in 2019, it was not large enough to hold the 771 women serving time. More than a quarter of those women were incarcerated at regional jails without access to trade skills development and some rehabilitation programs. Less than half the women at Lakin have a high school diploma; a majority are mothers, and 104 have given birth there since 2006.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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; a candidate call from one teacher head, not a consensus.
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".