{"id":"W4312995394","doi":"10.1080/13552074.2022.2130516","title":"Transformative digital spaces? Investigating women’s digital mobilities in Pakistan","year":2022,"lang":"en","type":"article","venue":"Gender & Development","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre; Lahore University of Management Sciences; Oxfam America","keywords":"Transformative learning; Mobilities; Empowerment; Context (archaeology); Work (physics); Sociology; Intersection (aeronautics); Affect (linguistics); Gender studies; The Internet; Digital divide; Geography; Computer science; Engineering; Economic growth; Social science; World Wide Web; Economics; Cartography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006291152,0.0001428102,0.0001577336,0.0001402232,0.0007356825,0.0006025814,0.0002188759,0.00003476512,0.0003353027],"category_scores_gemma":[0.00002297895,0.0001615161,0.00004143891,0.0003672396,0.0001501612,0.002311012,0.00006057802,0.0001813629,0.00004812769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001351155,"about_ca_system_score_gemma":0.0006915237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003598269,"about_ca_topic_score_gemma":0.0001198173,"domain_scores_codex":[0.9983234,0.00005113433,0.0004474723,0.000208699,0.0004467302,0.0005225493],"domain_scores_gemma":[0.9996045,0.00006568476,0.00007684751,0.00007613572,0.00002701857,0.0001497787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001642255,0.0001009474,0.009279603,0.00002733017,0.00002755252,0.000004122282,0.8622445,0.0003272786,0.000001021028,0.01689379,0.0001196865,0.1109577],"study_design_scores_gemma":[0.000432767,0.00003758148,0.003943089,0.00001388562,0.000001278998,0.000002118337,0.6321035,0.0000249919,0.00004836169,0.01533727,0.3476998,0.0003553856],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7640254,0.00003646923,0.0003105138,0.000322096,0.0001314687,0.0003218448,0.00004456374,0.0000784889,0.2347292],"genre_scores_gemma":[0.998233,0.000006762034,0.0001547103,0.0002058801,0.00002031898,0.0003582298,0.00007435829,0.00001017401,0.0009365977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3475801,"threshold_uncertainty_score":0.6586434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02497932379702701,"score_gpt":0.2699033650729258,"score_spread":0.2449240412758988,"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."}}