Dual approach and penal paradox
Dual approach and penal paradox
The dual approach to correctional processes refers to the simultaneous implementation of punitive measures(retributive) and rehabilitative strategies (reductivism) within the same penal system.
Although society often expresses support for a dual approach to corrections- however in practice rehabilitative aims are frequently superseded, constrained, or overshadowed by retributive imperatives.
This creates what has been describe as a “penal paradox”: systems claim to rehabilitate while structurally reinforcing punitive expansion.
This dynamic has become particularly pronounced in recent decades, especially within the digital era.- lead to the rise of ‘digital rehabilitation’
Dual approach in contemporary time
From rehabilitation ideal to ‘digital rehabilitation’
Traditionally, rehabilitation ideal focused on:
Human-centred: relies on direct interaction with professionals –e.g., probation officer
Moral reform: holistic tackle criminogenic needs
Desistance focused: Social reintegration
Flexibility: Interventions can adapt to the
individual’s progress and personal context
Digital rehabilitation focus on:
Risk containment rather than moral reform
Data-driven decisions
Delivered remotely –e.g., virtual counselling- CBT
Prioritise cost-efficiency
Rehabilitation is reframed as a technical correction of risk rather than a social process.
Digital rehabilitation
Promote supervision and monitoring
Eg. electronic tagging, GPS tagging
Online intervention
Programmes, CBT delivered through digital platforms
Online training, education and virtual mentoring
Actuarial rehabilitation
Algorithmic rehabilitation
Inform or determine rehabilitative decisions
Algorithmic rehabilitation
Algorithmic justice builds upon actuarial logic but embeds it in AI systems and data infrastructures.
Good example of Algorithmic justice is COMPAS
COMPAS- (Correctional Offender Management Profiling for Alternative Sanctions) is a risk assessment software used in the CJS to predict a defendant’s likelihood of reoffending, assisting courts and parole boards in sentencing, bail, and rehabilitation decisions.
In algorithmic systems:
Risk assessments are automated
Decision-making becomes data-driven
Human discretion may be reduced
Overlook structural factors
Ignore human agency – human are rational
Algorithms are trained on historical data
Historical data reflect existing inequalities
Actuarial rehabilitation
Offenders are classified into risk categories
Interventions are allocated based on statistical probability
The aim becomes risk containment rather than personal change
Rehabilitation becomes instrumental
Improve efficiency and resource allocation
But reduce attention to structural factors such as poverty, racism, or social exclusion
Actuarial and algorithmic rehabilitation
De-centre moral and relational rehabilitation
Prioritise risk minimisation
Focus on cost- efficiency
Emphasise public protection over personal growth
Rehabilitation becomes digitised and actuarialised — measured through probabilities rather than human development.
Digital rehabilitation replacing human change with statistical prediction.
Rehabilitative practices has been reframed primarily as instruments of risk management rather than as mechanisms of social reintegration or moral reform
Extreme forms of rehabilitation
Rehabilitating sex offenders
Surgical castration
Chemical castration
In the 1970s, for example trials took place in British prisons to chemically castrate 138 sex offenders
However, several studies indicated a low recidivism - some offender can still have sexual desire even after castration. (Harrison, 2007)
A number of European countries have used of chemical castration (including: France, Italy and Belgium)
Similarly , in USA e.g., California and Texas enact legislation on chemical castration; subsequently enacted in several other states
Effectiveness appears to be achieved where chemical treatment is used in conjunction with counselling (Harrison, 2007)