{"id":"W4415630635","doi":"10.1016/j.jsis.2025.101938","title":"Mattering in the metaverse: Re-imagining inclusive futures of work with immersive platforms","year":2025,"lang":"en","type":"article","venue":"The Journal of Strategic Information Systems","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council","keywords":"Embodied cognition; Immersive technology; Futures contract; Feeling; Work (physics); Virtual reality; Through-the-lens metering; Affect (linguistics)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.009428426,0.0009684989,0.0006675959,0.001891855,0.01309169,0.0189449,0.002300611,0.007747394,0.005158776],"category_scores_gemma":[0.01522624,0.0004354537,0.0008634232,0.001299842,0.04215254,0.03161117,0.01013833,0.008386709,0.0009066923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003434373,"about_ca_system_score_gemma":0.005168033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002400752,"about_ca_topic_score_gemma":0.005599345,"domain_scores_codex":[0.9888768,0.008479859,0.0002014712,0.0005796772,0.001089245,0.0007729888],"domain_scores_gemma":[0.9858746,0.01068204,0.0005647824,0.001061684,0.0009901895,0.0008266446],"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":[0.00004269026,0.00001678647,0.000368094,0.000281745,0.00000824384,0.0006294701,0.3776532,0.0002129743,0.0007730989,0.5896288,0.01196575,0.01841923],"study_design_scores_gemma":[0.00001106072,0.0000607551,0.000420176,0.001255145,0.00002034374,0.0006017332,0.270757,0.0006656477,0.000893524,0.2806255,0.4446474,0.00004174268],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1035554,0.02123128,0.08786114,0.3605222,0.01703747,0.0001646811,0.0001002681,0.0002713178,0.4092564],"genre_scores_gemma":[0.9278475,0.01070619,0.01214816,0.01825723,0.004056887,0.0002003132,0.00005956923,0.000409728,0.02631447],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0189449,"threshold_uncertainty_score":0.04986286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02150572897086908,"score_gpt":0.2732778508437137,"score_spread":0.2517721218728446,"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."}}