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Record W7018322828

Daedalus (A screenplay)

2018· other· en· W7018322828 on OpenAlexfundno aff

Bibliographic record

VenueIowa Research Online (The University of Iowa) · 2018
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
FundersHarvard UniversityUniversity of TorontoUniversity of OxfordYale University
KeywordsCircumstantial evidenceRidiculousPretextTSG101
DOInot available

Abstract

fetched live from OpenAlex

This screenplay is an adaptation based on the mythological inventor, Daedalus. Most audiences are less familiar with who Daedalus is compared to what he accomplished (designed and built the Labyrinth) or who he is associated with (his son, Icarus). For the most part, as found in Apollodorus’ The Library, Daedalus’ story weaves throughout the background of better-known heroes and villains. That is not to say his story is any less interesting, or – as many myths end – tragic. In my script, I attempt to flesh out the brief origins of the great inventor. This tale is found in The Library and claims that Daedalus once lived in Athens, taking his nephew Talus as his apprentice. When Daedalus realizes that Talus could potentially rival his own craftsmanship, the inventor tosses the boy off of a building in a fit of blind rage. It is a tragic tale in itself, but with the script, it is my goal to reshape the narrative so that it might appeal to a contemporary audience while staying true to the general themes of tragedy and playing them up in a grander scale. As I do so, I include some better-known characters in mythological history who chronologically (in the loosest sense of the word) could have interacted with Daedalus in Athens. My screenplay toys with the tragedy genre as Daedalus, his sister Perdix, and his nephew Talus are slowly sucked into the influence of a famed sorceress. The choice to include Medea (and later on, Jason) is based on Euripides’ renowned play, Medea, in which Aegeus (king of Athens) offers the magic user refuge in his city. Later, in the Theseus myth, we learn that Medea has married Aegeus (after killing her children to get back at Jason and fleeing from Corinth). Not only does Medea’s tragedy intersect with Daedalus’, but it also provides me the opportunity to have these strong characters interact while still hitting all the plot points found in the original myth. My goal while writing this screenplay was never to repeat the same story. Instead, it was to revise the rhythm of the tragedy while still maintaining the important beats that had rung so true to me in the beginning. In this attempt, I have shifted the definition of tragedy to match that of today’s general public, just as Shakespeare did in his day-and-age. In my critical essay, following the script, I explore this idea of changing ideas behind the definition of tragedy. I also explore how the experiences of cinematic spectacle affect the tragic genre as opposed to the theatrical.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.016
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0010.005
Scholarly communication0.0000.000
Open science0.0040.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0330.044

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 head0.109
GPT teacher head0.368
Teacher spread0.259 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2018
Admission routes1
Has abstractyes

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