Predator or scapegoat? The Australian Grey Nurse Shark through the public lens
Bibliographic record
Abstract
The general lack of knowledge in mainstream Anglo-Australian society and popular Western media pertaining to the different shark species has led to the depletion of placid species such as the Grey Nurse Shark Carcharias taurus. This paper examines the depiction of sharks in Western popular media and also provides an in depth analysis of 155 Australian newspaper articles pertaining specifically to the Grey Nurse shark. The study of newspaper reportage consisted of a content analysis of 15 Australian based newspapers and serves to deconstruct the explicit messages that they attempt to convey to their readers. The data generated by this study exemplify the perceptions of C. taurus as represented by major Australian newspapers between the years 1969 and 2009. The study revealed that the majority of the news articles examined fell within a neutral range and that the level of interest in the plight of C. taurus has increased as C. taurus' circumstances have become more critical.
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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 | 0.002 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
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".