Bibliographic record
Abstract
The Sixth Annual Conference of the Islamic Social Services Association(ISSA) was held June 17-19, 2005, at Arizona State University (ASU) andthe Holiday Inn in Tempe, Arizona. Sponsors included the Department ofSocial Work, ASU at the West Campus; the School of Social Work, ASU atthe Tempe Campus; the National Association of Social Workers–Arizonachapter; the Muslim American Society–Arizona chapter; the Council onAmerican Islamic Relations–Arizona chapter; the Muslim Students Associationat ASU Tempe Campus; the Muslim Law Students’Association at ASU;the Islamic Center of the East Valley; and Global Medical Technologies.The conference and pre-conference institute continued ISSA’s mission:promoting awareness of the social welfare, mental health, and family concernsfacing Muslims in North America by educating mainstreamproviders, Muslim practitioners involved in providing human services,imams, and community leaders. The pre-conference institute’s theme was“Muslim Culture and Faith,” the title of ISSA’s anti-bias project training formainstream providers. The conference’s theme was “Islamic SocialServices: Challenges and Opportunities.”Pre-conference institute presenters Aneesah Nadir (Arizona StateUniversity and ISSA–USA) and Shahina Siddiqui (ISSA–Canada) providedinformation about Muslim culture, traditions, beliefs, the history of Islamand Muslims in North America, and social issues facing Muslims, as wellas guidelines and considerations for addressing the social issues thatMuslims’ experience. Social workers, counselors, teachers, health-care andmental-health providers from mainstream social service organizations, publicand private schools attended the pre-conference institute.Social work educators, doctoral candidates, and Muslim communitysocial service providers were among the presenters for the overall ISSA conference.Abdul Malik Mujahid (Soundvision), Omar Shahin (NationalAssociation of Imams Federation [NAIF]), Mohamed Magid (All DullesArea Muslim Society [ADAMS]) and Bonita McGee (ISSA–USA) facilitateddiscussions with imams and community leaders. This session exploredways imams can address social issues and strategies Muslim social serviceproviders can employ to help them meet the community’s social needs.While the imams identified a complex situation with a variety of problemsand solutions, it became clear that they do not have the knowledge and skillsto address the community’s many social and family issues. Opportunities forconsultation and education with imams and mosque leaders are necessary,therefore, organizations like NAIF are working with ISSA to provide this totheir members. Imams also need to be recognized as professionals with clearjob descriptions and regular (including counseling) hours. One imam is notenough; perhaps youth imams and assistant imams are needed ...
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.388 | 0.106 |
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 source (direct Gemma or distilled Codex), 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".