Developing Family Therapy Skills on a Shoe String Budget: A Peer Supervision and Training Approach

2013 ◽  
Vol 34 (4) ◽  
pp. 311-324 ◽  
Author(s):  
Ingeborg Stiefel ◽  
Matthew S. Brand ◽  
Davida K. Hinchcliffe ◽  
Waverney R. Innes
Keyword(s):  
Family Therapy ◽  
Peer Supervision ◽  
Training Approach ◽  
Supervision And Training ◽  
And Training

scholarly journals Cultivating the Ethical Repertoires of Behavior Analysts: Prevention of Common Violations

2021 ◽  
Author(s):  
Lisa N. Britton ◽  
Amy A. Crye ◽  
Linda K. Haymes
Keyword(s):  
Behavior Analyst ◽  
Ethical Culture ◽  
Behavior Analyst Certification Board ◽  
Ethical Violations ◽  
Supervision Process ◽  
Organizational Perspective ◽  
Behavior Analysts ◽  
And Performance ◽  
Supervision And Training ◽  
And Training

AbstractViolations of the Professional and Ethical Compliance Code for Behavior Analysts occur despite coursework, supervision, and training. In this discussion, we highlight the most common violation categories identified: (a) improper or inadequate supervision/delegation, (b) failure to report/respond to the Behavior Analyst Certification Board (BACB) as required, and (c) professionalism/integrity. The specific areas addressed under supervision/delegation involve behavior analysts’ standards and performance as supervisors, as well as compliance with coursework. For failure to report, the focus is on responding, reporting, and providing updated information to the BACB in a timely manner. Finally, the section on professionalism and integrity addresses multiple code elements, including integrity, professionalism, and scientific relationships, as well as methods for promoting an ethical culture and decisions involving ethical violations by others. Importantly, we provide guidance on the structure and organization of supervision, methods and guidelines regarding reporting, and rubrics to shape and evaluate professionalism and integrity. We provide recommendations for the supervision process and for practitioners from the organizational perspective so that the organization supports and promotes an ethical culture.

Annotated Bibliography of Key Articles on the Supervision and Training of Family Therapists

1986 ◽  
Vol 1 (4) ◽  
pp. 139-145
Author(s):  
Marcia Sandridge Brown ◽  
Mark J. Hirschmann ◽  
John H. Lasley ◽  
Cricket K. Steinweg
Keyword(s):  
Annotated Bibliography ◽  
Family Therapists ◽  
Supervision And Training ◽  
And Training

Work Patterns, Training, and Clinical Supervision Demographics of Home-Based Professional Counselors

2021 ◽  
pp. 106648072110618
Author(s):  
Janelle M. Cox
Keyword(s):  
Clinical Supervision ◽  
Graduate Training ◽  
Counseling Services ◽  
Professional Counselors ◽  
Work Patterns ◽  
Health Counseling ◽  
Home Based ◽  
Professional Requirements ◽  
Supervision And Training ◽  
And Training

Home-based counseling is an emerging modality of providing mental health counseling services to clients across the lifespan. However, minimal graduate training programs and home-based agencies provide training and preparation for professional counselors. In addition, educational and professional requirements are currently ill defined. A nonexperimental pilot survey exploring home-based professional counselors work-based, and clinical supervision and training patterns was conducted. Results suggest home-based professional counselors serve diverse populations and have limited training regarding home-based competencies. Findings from the study are presented. Implications for training and practice for home-based counselors are discussed.

scholarly journals Bladder injuries in emergency/expedited laparoscopic surgery in the absence of previous surgery: a case series

2012 ◽  
Vol 94 (3) ◽  
pp. e118-e120 ◽  
Author(s):  
BF Levy ◽  
J De Guara ◽  
PD Willson ◽  
Y Soon ◽  
A Kent ◽  
...  
Keyword(s):  
Case Series ◽  
Lower Abdominal Pain ◽  
Bladder Injury ◽  
Emergency Setting ◽  
Surgical Trainees ◽  
Bladder Injuries ◽  
Site Planning ◽  
Supervision And Training ◽  
Alternative Sites ◽  
And Training

INTRODUCTION The use of laparoscopy as a diagnostic and therapeutic tool is being used increasingly in the emergency setting with many of these procedures being performed by trainees. While the incidence of iatrogenic injuries is reported to be low, we present six emergency or expedited cases in which the bladder was perforated by the suprapubic trocar. CASES Three cases were related to the management of appendicitis, two to negative diagnostic laparoscopies for lower abdominal pain and one to an ectopic pregnancy. Management of the bladder injuries varied from a urinary catheter alone to laparotomy with debridement of the abdominal wall due to sepsis and later reconstruction. Four of the six cases were performed by registrars. CONCLUSIONS Although the incidence of bladder injury is low, its importance is highlighted by the large number of laparoscopies being performed. In addition to catheterisation of the patient, care must be taken with the insertion of low suprapubic ports and consideration should be made regarding alternative sites. Adequate laparoscopic supervision and training in port site planning is required for surgical trainees.

scholarly journals Beyond Network Pruning: a Joint Search-and-Training Approach

2020 ◽  
Author(s):  
Xiaotong Lu ◽  
Han Huang ◽  
Weisheng Dong ◽  
Xin Li ◽  
Guangming Shi
Keyword(s):  
Random Perturbation ◽  
Search Space ◽  
Fine Tuning ◽  
Superior Performance ◽  
Network Pruning ◽  
Training Approach ◽  
Target Network ◽  
Tuning Strategy ◽  
Coarse To Fine ◽  
And Training

Network pruning has been proposed as a remedy for alleviating the over-parameterization problem of deep neural networks. However, its value has been recently challenged especially from the perspective of neural architecture search (NAS). We challenge the conventional wisdom of pruning-after-training by proposing a joint search-and-training approach that directly learns a compact network from the scratch. By treating pruning as a search strategy, we present two new insights in this paper: 1) it is possible to expand the search space of networking pruning by associating each filter with a learnable weight; 2) joint search-and-training can be conducted iteratively to maximize the learning efficiency. More specifically, we propose a coarse-to-fine tuning strategy to iteratively sample and update compact sub-network to approximate the target network. The weights associated with network filters will be accordingly updated by joint search-and-training to reflect learned knowledge in NAS space. Moreover, we introduce strategies of random perturbation (inspired by Monte Carlo) and flexible thresholding (inspired by Reinforcement Learning) to adjust the weight and size of each layer. Extensive experiments on ResNet and VGGNet demonstrate the superior performance of our proposed method on popular datasets including CIFAR10, CIFAR100 and ImageNet.

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