(Un)originality, hypertextuality and identity in Tiga's ‘Sunglasses at Night’
Bibliographic record
Abstract
Abstract In 2001, Montreal disc jockey Tiga, with the help of Finnish producer Jori ‘Zyntherius’ Hulkkonen, recorded and released a techno cover version of ‘Sunglasses at Night’, a song popularised in 1983 by fellow Canadian Corey Hart. This paper examines how a so-called ‘unoriginal’ musical practice such as the cover version, when re-contextualised into a brand new musical genre (a process called ‘trans-stylisation’), can engender new meaning, especially when it comes to the generic identity purveyed by the song's enunciator. The analysis of this new ‘original’ utterance relies on the theory of hypertextuality and describes, on the musical, lyrical and visual levels, the transformative processes from the hypotext (Hart's version) to the hypertext (Tiga's), thereby shedding new light on the poetics of the cover version and on the representational modalities of the postmodern subject.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.033 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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".