Bibliographic record
Abstract
Why are you interested in these non-heroic people?", cioè personaggi "marginali" come gli immigrati (Interview 136), rispose: "What is true heroic, for example?What kind of people do we look up to?Who should be the exemplars of our behaviors?These answers have to do with the age-old ethical, political, and religious questions of what it means to be a true human being.This is precisely what my work seeks to answer" (137).Questa ricerca morale di "a true human being" è in sintesi l'ispirazione delle opere di Paci: prima la ricerca fra gli immigrati in Italians (1978), Black Madonna (1982) e The Father (1984); poi eroe in pectore della ricerca è Mark Trecroci, protagonista della serie "Black Blood" (Bildungsroman) composta finora da sei romanzi, dal 1991 al 20051.La ricerca perdura in Iceland (1999) e in Losers (2002).Nell'intervista di Joseph Pivato, Paci conclude con la bella affermazione: "I'm more interested in the quiet hero and heroine, someone who will make the right choice in the face of majority values" (137).La ricerca morale di Paci concerne sia l'esperienza sociale degli immigrati che quella personale (religiosa, culturale e sessuale) del protagonista.Era stata Margaret Laurence a consigliare al personaggio del giovane scrittore Mark (alter ego di Paci) di trarre ispirazione dalla sua gente (Sex and Character 164).I due piani -personale e sociale -coesistono e spesso coincidono. 1 All'inizio in Black Blood (1991), il ragazzino Markie vive nel mondo affascinante dei fumetti e del cinema popolato da eroi del Far West, dell'epica biblica, dei romanzi polizieschi e altri eroi.Alla fine in Hard Edge (2005) quando Mark ha finito l'università, lo troviamo in compagnia dell'ultimo eroe dei suoi pensieri, Kierkegaard.Nel precedente romanzo, Italian Shoes (2002) l'eroe con cui egli conversa e a cui s'ispira è Ludwig Wittgenstein.Ancora in Black Blood, l'adulto autore della confessione -che costituisce il romanzo -cita Plotino che esorta a intraprendere un viaggio di esplorazione dell'anima, come i Grandi Esploratori del passato (Black Blood 3), altri eroi exemplars of our behaviors (Interview 137).
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.020 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.011 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".