Constructing a Quantum State of Awareness
The success of quantum field theory lies in its ability to quantify observables that go unnoticed by the naked eye. The advantage of quantifying implicit or imperceptible systems, structures and even more ephemeral forms and relationships, cannot be denied. Neither ought its value be shortchanged.
I have worked with Dr. Tom Adi closely and diligently for the greater part of my life (more than thirty years) to understand the implicit nature of meaning. Thanks to Tom Adi (who shared his discoveries and insights with me) who spent years teaching me how to observe the world using the scientific method, I was able to sharpen my intuition.
In the process of learning from him, and in the evolution of my own reflections, I discovered the natural and quantal relations of salience, relevance, resonance and resolution. Here are some of my insights.
Bourke Community Engagement Impact on Youth Detention
HOW A NEW COMMUNITY ENGAGEMENT INITATIVE MAY IMPACT YOUTH CRIME IN THE TOWN OF BOURKE, NSW
MKT563 Assessment 4: Kari Steele
Aim of Simulation:
Bourke is a town in which Youth are involved in high rates of criminal behaviour (Thompson, 2016). This simulation focuses on how implementation of a community engagement initiative may impact crime patterns of youths in Bourke. The specific aim is to assess whether the town should initiate a program such as the Big Brothers Big Sisters Community-Based Mentoring (CBM) (Blueprints for Healthy Youth Development, 2018) program to reduce crime and antisocial behaviour (National Institute of Justice, n.d). Big Brothers Big Sisters is a community mentoring program which matches a volunteer adult mentor to an at-risk child or adolescent to delay or reduce antisocial behaviours; improve academic success, attitudes and behaviours, peer and family relationships; strength self-concept; and provide social and cultural enrichment (Blueprints for Healthy Youth Development, 2018).
An InsightMaker model is used to simulate the influence of Big Brothers Big Sisters Initiative on Criminal Behaviour (leading to 60% juvenile detention rates) with variables including participation rate and also drug and alcohol use.
1/ ‘Youth’ are defined, for statistical purposes, as those persons between the ages of 15 and 24 (United Nations Department of Economic and Social Affairs, n.d).
2/ Youth population (15 – 24 years) makes up 14.1% of the total population of LGA Bourke which according to the most up-to-date freely available Census data (2008) is 3091 (Australian Bureau of Statistics, 2010). Therefore, youth population has been calculated as 435 individuals.
3/ Big Brothers Big Sisters Program is assumed to impact LGA Bourke in a similar manner that has been shown in previous studies (Tierney, Grossman, and Resch, 2000) where initiative showed mentored youths in the program were 46% significantly less likely to initiate drug use and 27 percent less likely to initiate alcohol use, compared to control. They were 32 less likely to have struct someone during the previous 12 months. Compared to control group, the mentored youths earned higher grades, skipped fewer classes and fewer days of school and felt more competent about doing their schoolwork (non-significant). Research also found that mentored youths, compared with control counterparts, displayed significantly better relationships with parents. Emotional support among peers was higher than controls.
Youth Population = 435
Criminal Behaviour = 100
40% of youth population who commit a crime are non-convicted
60% of youth population who commit a crime are convicted
20% of youth involved in the Big Brothers Big Sisters Initiative are non-engaged
80% of youth involved in the Big Brothers Big Sisters Initiative are engaged
The variables include ‘Participation Rate’ and ‘Drug and Alcohol Usage’. These variables can be adjusted as these levels may be able to be impacted by other initiatives which the community can assess for introduction; these variables may also change in terms of rate over time.
As can be seen by increasing the rate of participation to 90% we can see juvenile detention rate decreases with engagement (even with the 20% non-engagement of youths involved in program). By moving the slider to 10% participation however you can see the criminal behaviour increase.
From the simulation, we can clearly see that the community of Bourke would benefit in terms of the Big Brothers Big Sisters Initiative decreasing criminal behaviour in youths (15 – 24 years of age) over a 5-year timeframe. Further investigation regarding expenditure and logistics to implement such a program is warranted based on the simulation of impact.
Australian Bureau of Statistics. (2010). Census Data for Bourke LGA. Retrieved from www.abs.gov.au/AUSSTATS/abs@.nsf/Previousproducts/LGA11150Population/People12002-2006?opendocument&tabname=Summary&prodno=LGA11150&issue=2002-2006
Blueprints for Healthy Youth Development. (2018). Big Brothers Big Sisters of America Blueprints Program Rating: Promising, viewed 26 May 2018, <www.blueprintsprograms.com/evaluation-abstract/big-brothers-big-sisters-of-america>
National Institute of Justice. (n.d.). Program Profile: Big Brothers Big Sisters (BBBS) Community-Based Mentoring (CBM) Program, viewed 26th May 2018, <https://www.crimesolutions.gov/ProgramDetails.aspx?ID=112>
Tierney, J.P., Grossman, J.B., and
Resch, N.L. (2000). Making a Difference: An Impact Study of Big Brothers/Big Sisters.
Philadelphia, Pa.: Public/Private Ventures.
Thompson, G. (2016) Backing Bourke: How a radical new approach is saving young people from a life of crime. Retrieved from < www.abc.net.au/news/2016-09-19/four-corners-bourkes-experiment-in-justice-reinvestment/7855114>
United Nations Department of Economic and Social Affairs (UNDESA). (n.d.). Definition of Youth, viewed 24th May 2018, www.un.org/esa/socdev/documents/youth/fact-sheets/youth-definition.pdf
Employee Engagement Cycle
BOURKE Crime vs. Engagement
The following insight indicates the level of crime in the town of Bourke in correlation to the levels of Police and Community Engagement. The model demonstrates how different variables throughout the community can improve the overall crime rate.
Police Expenditure is a major variable in this situation as investing in more police officers will increase the chances of convicting the youth population and placing them in juvenile detention. Additionally, placing an emphasis on police activity will make kids less inclined to commit crimes.
However, our goal is to prevent the youth from wanting to commit crime in the first place. One of the major factors in regards to the high crime rate of the town is due to the lack of activities for the minors to engage in. Providing an Engagement Program is key to keeping kids preoccupied and focused on productive activities. Various clubs will be included in the program depending on the interests of the kids. Since football is a popular activity throughout the community, investing in a Football Club is a wise decision. This club will play a key role in reducing the amount of boredom within the youth population and leave them less inclined to cause mischief.
The insight demonstrates how the motivation to commit crime is reduced when the level of boredom is low and there are activities to engage in. In this scenario, the more engaged the youth is, the more likely they are to continue down this positive path and simply return home after the activity is over (Labeled "Darren") and not commit crimes.
Observing the model, it is evident that Community engagement programs play a significant role in keeping crime to a minimum. The value slider gives you the option to examine the crime rate when police activity is high and engagement program is low & vice versa. The simulation indicates that crime is consistently lower when there is a high concentration on community engagement. Incorporating the data included in the model to resolve the crime problem in Bourke; there should be heavy investment in Engagement Programs while keeping a moderate level of police active at all times to ensure punishment for the youth who commit crime despite the programs.
Relationships between various groups in Bourke_Student ID 11640880
This model presumes that the overal youth population of the town Bourke is 1 000 people.
Lack of financial resources
Changes their mind
The level of these variables can be corrected.