Bibliographic record
Abstract
La tesi ricostruisce le pratiche culturali legate alla produzione e alla diffusione della poesia nella citta canadese di\nToronto a partire dagli anni cinquanta, cercando di tracciare delle linee che colleghino quegli albori alla fiorente scena\npoetica attuale. L'elaborato e diviso in quattro capitoli: quello iniziale illustra il metodo e gli obiettivi della ricerca, i\ndue centrali descrivono le attivita poetiche ritenute significative per la creazione di una spazio culturale urbano nei\ndecenni dal 1950 al 1980 circa (riviste e serie di letture indipendenti, il fenomeno della "small press"), e il quarto\n"fotografa" la varieta di pratiche a attori coinvolti nella prassi poetica ai giorni nostri (rapporto tra editoria commerciale\ne "small press," presenza della poesia per le strade, ecc). In appendice, il testo di tre interviste con altrettanti poeti di\nToronto i quali, in anni diversi, sono stati coinvolti in attivita di promozione della poesia parallele a quella di scrittura.\nDalla ricerca svolta, il sistema-poesia emerge come quadro composito, all'interno del quale convivono comunita\nalternative di poeti-editori, case editrici, associazioni, istituzioni accademiche e premi letterari tutti in varia misura\ninfluenzati dall'ingente contributo del governo canadese al settore del''industria culturale e, in generale, dalle leggi del\nmercato.\n\nThis work outlines the cultural practices related to the production and diffusion of poetry in the city of Toronto, starting\nfrom the 1950s. It also attempts to highlight significant links between those early developments and the florid\ncontemporary scene. The thesis is divided into four chapters: the first illustrates the chosen research methods and goals,\nthe second and third describe poetic activities that were significant for the production of an urban cultural space in the\nperiod 1950-1980 approximately (the first independent magazines and reading series, the small press explosion), and\nthe last chapter shows the variety of practices and actors involved in Toronto poetry today (with hints to the relationship\nbetween commercial publishing and small press, to the presence of poetry on the streets, etc.). As an Appendix, the text\nof three interviews with Toronto poets who were active, at different times, in poetry-related activities in the city.\nThis research presents the poetry-network as a complex system, that combines alternative communities of poetpublishers,\npublishing houses, associations, academic institutions, literary prizes, and so on. All of these are influenced\nto various degrees by the massive governmental funding provided by the different layers of Canadian Government, and\nby the laws of the market.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.010 | 0.008 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.097 | 0.017 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".