{"id":"W2537331173","doi":"10.14324/111.444.ljcs.2016v31.007","title":"The Multiple Deindustrializations of Canada’s Maritime Provinces and the Evaluation of Heritage-Related Urban Regeneration11 For valuable comments on an earlier version of this essay, the authors wish to thank Donald J. Savoie and the participants at the Swansea Conference organized by the Canadian Studies in Wales Group on Regeneration, Heritage and Cultural Identity: Trans-Atlantic Perspectives, June 2013.","year":2016,"lang":"en","type":"article","venue":"London Journal of Canadian Studies","topic":"Urbanization and City Planning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University; McGill University","funders":"","keywords":"Deindustrialization; Industrialisation; Regeneration (biology); Cultural heritage; Urban regeneration; Economic growth; Political science; Economy; Sociology; Geography; Economics; Environmental planning; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.005042986,0.0001183028,0.0002740111,0.00008128269,0.002627583,0.0001140224,0.0002507929,0.00004987825,0.00001477155],"category_scores_gemma":[0.002651343,0.00004588077,0.00003255313,0.0003337893,0.001485914,0.0002188704,0.00002443408,0.0001205762,7.314001e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004508089,"about_ca_system_score_gemma":0.001281719,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.816755,"about_ca_topic_score_gemma":0.9995289,"domain_scores_codex":[0.9970494,0.001560132,0.0004209996,0.0001320074,0.0006097475,0.0002277029],"domain_scores_gemma":[0.9968684,0.00142582,0.0003480215,0.0001318243,0.001107558,0.0001184145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00133695,0.00007025887,0.03649395,0.00004490204,0.001654979,0.000003050414,0.5624227,0.0007665958,0.000603347,0.1066319,0.2886673,0.001304139],"study_design_scores_gemma":[0.0178253,0.000671218,0.03505063,0.001036929,0.001546344,0.00001438007,0.8912979,0.002247365,0.001035977,0.004987633,0.0437797,0.0005066243],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8185707,0.01085372,0.000007576784,0.1687542,0.0002368467,0.001298572,0.0001164426,0.000001990782,0.0001599219],"genre_scores_gemma":[0.9959898,0.002631343,0.000007277669,0.0002865436,0.00004173122,0.00003069047,0.000004937717,0.0000066762,0.001000983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3288752,"threshold_uncertainty_score":0.9986709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08839097620561708,"score_gpt":0.3273087462720947,"score_spread":0.2389177700664776,"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."}}