MétaCan
Menu
Back to cohort
Record W2068363715 · doi:10.7882/az.2011.004

Predator or scapegoat? The Australian Grey Nurse Shark through the public lens

2011· article· en· W2068363715 on OpenAlex
Marie-France Boissonneault

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAustralian Zoologist · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicIchthyology and Marine Biology
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsScapegoatPredatorLens (geology)BiologyFisheryEcologyPredationPolitical scienceLaw

Abstract

fetched live from OpenAlex

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.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.156
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0390.007

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 head0.085
GPT teacher head0.283
Teacher spread0.198 · 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