{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001378149,0.0002781598,0.0002537832,0.00134143,0.008603622,0.005414606,0.0004763411,0.0008070201,0.004870883],"category_scores_gemma":[0.001793559,0.0003002895,0.0001179418,0.002423373,0.006342019,0.003627875,0.004288825,0.001116409,0.0003548377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003203438,"about_ca_system_score_gemma":0.003562692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02768956,"about_ca_topic_score_gemma":0.04581587,"domain_scores_codex":[0.9991527,0.0002982674,0.00002252874,0.00007296054,0.00009903205,0.0003546202],"domain_scores_gemma":[0.9989679,0.0005752032,0.0001623927,0.00004411552,0.0000920573,0.000158356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003091789,0.00003411177,0.01988518,0.00007136711,0.000002840216,0.0007444414,0.9625437,0.00003142224,0.0005051125,0.005462904,0.0006294897,0.01005855],"study_design_scores_gemma":[0.000001340198,0.0000155219,0.005652174,0.0000301109,0.00000131132,0.00006259579,0.9862769,0.00001296633,0.00006918026,0.0002685899,0.007606343,0.000003056693],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807444,0.0003961716,0.0002271194,0.00120641,0.00002406727,0.00002007077,0.00007899854,0.000002717307,0.0173001],"genre_scores_gemma":[0.9971144,0.0004870719,0.00008411964,0.0001445583,0.000008577151,0.00001728661,0.00002599501,0.000002443886,0.00211561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02768956,"threshold_uncertainty_score":0.05505675,"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."}}