{"id":"https://openalex.org/W7204204684","doi":"https://doi.org/10.5281/zenodo.22089155","title":"AI Recruitment Capability Synthetic Benchmark: V4 Reproducibility Package","display_name":"AI Recruitment Capability Synthetic Benchmark: V4 Reproducibility Package","publication_year":2026,"publication_date":"2026-08-25","ids":{"openalex":"https://openalex.org/W7204204684","doi":"https://doi.org/10.5281/zenodo.22089155"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.22089155","doi":"https://doi.org/10.5281/zenodo.22089155","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22089155","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"parent_works":[],"lineage":["https://openalex.org/W7204204684"],"child_works_count":0,"type":"dataset","is_traditional":false,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.22089155","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134341523","display_name":"Hani  F. Al-Fawareh","orcid":"https://orcid.org/0000-0002-9810-3299","observed_orcids":["https://orcid.org/0000-0002-9810-3299"]},"institutions":[{"id":"https://openalex.org/I145380033","display_name":"Amman Arab University","ror":"https://ror.org/039xekb14","country_code":"JO","type":"education","lineage":["https://openalex.org/I145380033"]}],"countries":["JO"],"is_corresponding":true,"raw_author_name":"AL-Fawareh, Hani F.","raw_affiliation_strings":["Amman Arab University"],"raw_orcid":"https://orcid.org/0000-0002-9810-3299","affiliations":[{"raw_affiliation_string":"Amman Arab University","institution_ids":["https://openalex.org/I145380033"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5134341523"],"corresponding_institution_ids":["https://openalex.org/I145380033"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13812","display_name":"AI and HR Technologies","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/1407","display_name":"Organizational Behavior and Human Resource Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13812","display_name":"AI and HR Technologies","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/1407","display_name":"Organizational Behavior and Human Resource Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.006099999882280827,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12415","display_name":"Employer Branding and e-HRM","score":0.0007999999797903001,"subfield":{"id":"https://openalex.org/subfields/1407","display_name":"Organizational Behavior and Human Resource Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence-in-recruitment","display_name":"artificial intelligence in recruitment","score":0.9430000185966492},{"id":"https://openalex.org/keywords/organizational-capabilities","display_name":"organizational capabilities","score":0.7059999704360962},{"id":"https://openalex.org/keywords/synthetic-benchmark","display_name":"synthetic benchmark","score":0.7990000247955322},{"id":"https://openalex.org/keywords/human-resource-data","display_name":"human resource data","score":0.5860000252723694},{"id":"https://openalex.org/keywords/data-generation","display_name":"data generation","score":0.4410000145435333},{"id":"https://openalex.org/keywords/reproducibility","display_name":"reproducibility","score":0.6759999990463257}],"concepts":[{"id":"https://openalex.org/C9893847","wikidata":"https://www.wikidata.org/wiki/Q1425625","display_name":"Reproducibility","level":2,"score":0.6743999719619751},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6342999935150146},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6243000030517578},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.621999979019165},{"id":"https://openalex.org/C2984074130","wikidata":"https://www.wikidata.org/wiki/Q73539779","display_name":"R package","level":2,"score":0.6097999811172485},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6057999730110168},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.399399995803833},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39899998903274536},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.3878999948501587},{"id":"https://openalex.org/C3019813237","wikidata":"https://www.wikidata.org/wiki/Q65089264","display_name":"Model validation","level":2,"score":0.3343000113964081},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.3156999945640564},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.3077999949455261},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2833000123500824},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.2831000089645386},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.2791000008583069},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.2734000086784363},{"id":"https://openalex.org/C106436119","wikidata":"https://www.wikidata.org/wiki/Q836575","display_name":"Quality assurance","level":3,"score":0.25099998712539673}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.5281/zenodo.22089155","doi":"https://doi.org/10.5281/zenodo.22089155","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22089155","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},{"id":"doi:10.5281/zenodo.22089156","doi":"https://doi.org/10.5281/zenodo.22089156","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22089156","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},{"id":"doi:10.5281/zenodo.22090330","doi":"https://doi.org/10.5281/zenodo.22090330","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22090330","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"}],"best_oa_location":{"id":"doi:10.5281/zenodo.22089155","doi":"https://doi.org/10.5281/zenodo.22089155","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22089155","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7163678373","https://openalex.org/W7141381262","https://openalex.org/W7119508329","https://openalex.org/W6925435208","https://openalex.org/W6887752126","https://openalex.org/W7223111489","https://openalex.org/W6887833640","https://openalex.org/W6903665191","https://openalex.org/W6963001800","https://openalex.org/W7160384851"],"abstract_inverted_index":{"This":[0],"record":[1],"contains":[2],"the":[3,8],"complete":[4],"reproducibility":[5],"package":[6,75],"for":[7,23],"methodological":[9],"manuscript":[10],"\u201cFrom":[11],"Adoption":[12],"Counts":[13],"to":[14],"Organizational":[15],"Capability:":[16],"A":[17],"Claim-Audit":[18],"Framework":[19],"and":[20,33,40,45,53,60,79],"Synthetic":[21],"Benchmark":[22],"AI":[24],"Recruitment":[25],"Research.\u201d":[26],"It":[27],"includes":[28],"fully":[29],"synthetic":[30,59],"row-level":[31],"HR":[32],"manager":[34],"data,":[35],"organization-level":[36],"analysis":[37,41],"files,":[38],"data-generation":[39],"code,":[42],"reconstructed":[43],"DGM/ADEMP":[44],"aggregation":[46],"documentation,":[47],"environment":[48],"specifications,":[49],"checksums,":[50],"figures,":[51],"tables,":[52],"verification":[54,78],"logs.":[55],"All":[56],"observations":[57],"are":[58],"must":[61],"not":[62,85],"be":[63],"interpreted":[64],"as":[65],"field":[66],"evidence":[67],"about":[68],"employers,":[69],"applicants,":[70],"or":[71,89],"hiring":[72],"outcomes.":[73],"The":[74],"supports":[76],"computational":[77],"fixed-seed":[80],"calibration":[81],"recovery":[82],"but":[83],"does":[84],"support":[86],"population,":[87],"causal,":[88],"method-performance":[90],"claims.":[91]},"counts_by_year":[],"updated_date":"2026-10-08T09:06:37.294493","created_date":"2026-08-26T00:00:00"}
