[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-184220-en":3,"doc-seo-184220-105":30,"detail-sidebar-cat-0-en-105":92},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},184220,1099513958607,"Jiven","https://ap-avatar.wpscdn.com/avatar/100002390cf8733938c?x-image-process=image/resize,m_fixed,w_180,h_180&k=1778829742770036399",8,"Research & Report","Chang et al. final version","This document presents a detailed analysis of party types benefiting from or excluded from a particular offering, categorized by their gender identity (female, male, other) and whether they were excluded or not. The data is presented in a clear tabular format, allowing for a comprehensive understanding of the distribution of beneficiaries and excluded parties across different demographic groups. The table displays counts for various combinations, such as 'Neither excluded' vs. 'Only female', 'Only male', and 'Other', alongside totals for each category. A significant portion of the beneficiaries fall into the 'Other' category for 'Other' exclusion types, while 'Only male' dominates if 'Neither excluded' is the criterion. The total number of participants analyzed is 1,793. This structured data is valuable for understanding demographic impacts and optimizing outreach or service delivery strategies based on specific party types and their exclusion status.","| Benefted party types |  | Excluded party types |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  | Neither\u003Cbr>excluded | Only female | Only male | Other | Total |\n| Neither | 106 | 1 | 1 | 2 | 110 |\n| Only female | 169 | 6 | 19 | 13 | 207 |\n| Only male | 540 | 23 | 10 | 18 | 591 |\n| Other | 822 | 17 | 22 | 24 | 885 |\n| Total | 1,637 | 47 | 52 | 57 | 1,793 |","cbCaikeLVwaPw3ab","https://ap.wps.com/l/cbCaikeLVwaPw3ab","pdf",519819,1,28,"English","en",105,"# Benefited Party Types\n## Excluded Party Types\n## Data Table","[{\"question\":\"What are the main categories for beneficiaries and excluded parties?\",\"answer\":\"The document categorizes beneficiaries and excluded parties based on identity (female, male, other) and exclusion status (neither excluded, only female, only male, other).\"},{\"question\":\"How many total participants are analyzed in the data?\",\"answer\":\"The total number of participants analyzed in the data is 1,793.\"},{\"question\":\"Which category has the highest number of beneficiaries when considering 'Other' as an exclusion type?\",\"answer\":\"When considering 'Other' as an exclusion type, the 'Other' beneficiary category has the highest count, with 822 individuals.\"}]","Chang et al. final version | 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