Dream… Believe… Survive: To Be In or Out? Television Reviews of Star Circle Quest (ABS-CBN) and Starstruck (GMA)
Bibliographic record
Abstract
R eality programs are the most recent additions to television.Crossing existing genre lines, the reality program has emerged in different program formats including game shows, talent searches, travel and adventure and dating programs to name a few.The success of such programs in the United States -Survivor, The Amazing Race, The Bachelor and American Idol -has established the potential of reality programs to create a marketable product through a strong audience base.The drive to create programs outside of the existing mix to provide audiences with more and fresher choices is the spirit behind the reality program genre.The success of some of its predecessors has established a new set of programs with a fresh allure for its audiences.The drive of the programs to create and re-create existing television formats have shaped these programs into combinations of several TV genres topping its real-life situations.This phenomenon is what Turner (2001) calls the promiscuous hybridity of modern television formats.This is all too apparent with television programs that lay claim to the reality television concept.Survivor incorporates elements of the game shows, adventure and soap operas to create their version of this genre.Similarly, Amazing Race includes the elements of travel programs and soap opera in their game show format.Competition has pushed the television industry to come up with continuously evolving formats making it even harder and harder to create clear definitions.While some of the products of this evolution may be questionable, the fluid nature of this genre allows these different deviations.Also, audiences seem to be insatiable in their continued Dream... Believe... Survive: To be In or Out? Jane O. Vinculado Television Reviews of Star Circle Quest (ABS-CBN) and Starstruck (GMA)
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 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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 0.002 |
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".