{"id":"W4391281822","doi":"10.1177/0308518x231220294","title":"Mobilizing space to realize the transformative potential of work integration social enterprises through a politics of scale and scope","year":2024,"lang":"en","type":"article","venue":"Environment and Planning A Economy and Space","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; University of Toronto","funders":"","keywords":"Transformative learning; Scope (computer science); Politics; Scale (ratio); Space (punctuation); Work (physics); Business; Sociology; Political science; Computer science; Engineering; Geography; Mechanical engineering; Cartography; Pedagogy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004648074,0.0003072992,0.0003611901,0.002314486,0.008637944,0.01371008,0.001004034,0.001375383,0.004779965],"category_scores_gemma":[0.0053386,0.0003185102,0.0003612963,0.001278677,0.04652826,0.008516604,0.02019712,0.001698114,0.0005279087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006463637,"about_ca_system_score_gemma":0.01054117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00909973,"about_ca_topic_score_gemma":0.01796947,"domain_scores_codex":[0.9956746,0.002644614,0.00008285362,0.0003001645,0.0004735663,0.0008241896],"domain_scores_gemma":[0.9962211,0.001574228,0.0004157616,0.0005384287,0.0002756171,0.0009747926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000366954,0.00006019144,0.004983108,0.00005695964,0.00001680756,0.0004777345,0.09724895,0.001202389,0.001196929,0.8632197,0.001284734,0.03021579],"study_design_scores_gemma":[0.00007645613,0.0001895947,0.009865821,0.0004366792,0.00003109917,0.0005252662,0.2711324,0.002117881,0.00109967,0.5298852,0.1845751,0.00006484875],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4500682,0.001058642,0.02986655,0.0139361,0.00009625992,0.0001164955,0.00003166167,0.00008877264,0.5047373],"genre_scores_gemma":[0.9952033,0.0001272363,0.001809287,0.0001109086,0.0000158538,0.00002609113,0.000003668345,0.00001166156,0.002692011],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01371008,"threshold_uncertainty_score":0.04689717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01293109591762609,"score_gpt":0.248168670597736,"score_spread":0.2352375746801099,"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."}}