{"id":"W7026962133","doi":"","title":"Breaking Barriers: Retention Strategies for Underrepresented Groups in the IT Workforce","year":2025,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"Gender and Technology in Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Mentorship; Workforce; Attrition; Diversity (politics); Inclusion (mineral); Stakeholder; Career Pathways; Work (physics); Underrepresented Minority","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.09513818,0.0007511435,0.001793611,0.006893991,0.005400596,0.009158859,0.003684977,0.002840759,0.004552197],"category_scores_gemma":[0.1594738,0.0005319851,0.002311356,0.005250883,0.002941032,0.01325003,0.0128686,0.002659825,0.0005803437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003818541,"about_ca_system_score_gemma":0.03283629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007648382,"about_ca_topic_score_gemma":0.01415559,"domain_scores_codex":[0.9531298,0.03274895,0.005507881,0.001351646,0.004636734,0.002625016],"domain_scores_gemma":[0.9109043,0.06350849,0.009405958,0.002281032,0.0111655,0.002734795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002430176,0.0002138506,0.01941804,0.04528329,0.0006069767,0.0006862493,0.08350257,0.0002891682,0.0005757618,0.01439244,0.01519254,0.8195961],"study_design_scores_gemma":[0.0003046528,0.001196937,0.02295692,0.3073603,0.002646411,0.001305826,0.3694697,0.0008653307,0.002577427,0.03384445,0.2572626,0.0002094455],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2643235,0.3592789,0.03386237,0.2792041,0.004317837,0.00516701,0.00103991,0.0003804316,0.05242591],"genre_scores_gemma":[0.7359682,0.163637,0.05098373,0.03204706,0.00117817,0.007809719,0.0007639563,0.0001409491,0.007471154],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09513818,"threshold_uncertainty_score":0.5031447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03426453106328975,"score_gpt":0.3404579303662302,"score_spread":0.3061933993029405,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}