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Record W7023790560

Poetry as investigative pedagogy: issue of ethics and praxis in Hay and Thorne's <i>Last Days of the Mill</i>

2016· other· en· W7023790560 on OpenAlexaboutno aff

Bibliographic record

VenueeCite Digital Repository (University of Tasmania) · 2016
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsPoetryPraxisNarrativeDemiseContext (archaeology)MillModernism (music)Drama
DOInot available

Abstract

fetched live from OpenAlex

This paper examines dilemmas of ethics and practice in the authors co-written Last Days of the Mill (2012). The usefulness of poetry as a tool of social inquiry is considered, both in the immediate context of a dying pulp mill in an industrial town in northern Tasmania, and the wider symbolic import of the mills demise within an island wedded to an unrealisable vision of industrial greatness. It is argued that there are forms of knowing in which poetry is far more efficacious than analytical prose, most notably elusive and grounded understandings such as being there-ness, and the accretion of a vividly storied mindscape expressed through the spoken word. The paper then considers the injunction of the Canadian poet, Robert Bringhurst: when he sees his people destroying the world, the poet can say, were destroying the world. He can say it in narrative or lyric or dramatic or meditative form, tragic or ironic form, short or long form... But he cannot lie, as a poet... (44). The paper argues for a more nuanced and inclusivist ethic, even when, technically speaking, this requires an act of dissimulation on the part of the poet.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.017
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.019
Threshold uncertainty score0.090

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.028
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0110.115
Scholarly communication0.0190.019
Open science0.0020.008
Research integrity0.0070.010
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.014
GPT teacher head0.237
Teacher spread0.223 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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