In-Between: Representation, Liminality, and the Multiverse in <i>Charlie Jade</i>
Bibliographic record
Abstract
Canadian/South African co-production Charlie Jade (syndicated, 2005) featured private detective Charlie Jade (American actor Jeffery Pierce) from the polluted, severely unequal “Cape City” crossing over to two other alternate universe/multiverse iterations of Cape Town, South Africa. Termed “Alpha,” “Beta,” and “Gamma,” the Betaverse is a fictionalised version of Cape Town with the Gammaverse being an idyllic, non-industrialised paradise. This article will analyse the negotiations between industrial requirements of international co-productions, contextualised in both the contexts of postcolonial media and postcolonial crime fiction, as well as negotiations of national/urban identity/-ties as expressed through the different iterations of Cape Town and the various characters.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.027 | 0.062 |
| Scholarly communication | 0.015 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.005 |
| 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".