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Record W2903302287 · doi:10.26803/ijlter.17.11.1

Examining the Nova Scotia Science Curriculum for International Ocean Literacy Principle Inclusion

2018· article· en· W2903302287 on OpenAlex

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Journal of Learning Teaching and Educational Research · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicCoastal and Marine Management
Canadian institutionsDalhousie University
Fundersnot available
KeywordsNova scotiaNova (rocket)CurriculumInclusion (mineral)LiteracyOceanographyMathematics educationSociologyGeologyPedagogyPsychologyEngineeringSocial scienceAeronautics

Abstract

fetched live from OpenAlex

Within Nova Scotia the ocean has an integral role in the economy and culture of the province. Nova Scotia is home to abundant marine resources and a rapidly developing ocean technology sector. Despite the importance of this resource and access to resources, youth in Nova Scotia have exhibited low knowledge of basic ocean concepts. This study investigates the extent to which the internationally established Ocean Literacy Principles are included in the curriculum outcomes of the Nova Scotia high school science curriculum. Data analysis of all high school science curriculum documents were guided by the seven Ocean Literacy Principles and the supporting fundamental concepts. Results from this study reveal limited inclusion of ocean concepts throughout the high school science curriculum. The effect of the diminished and marginalized inclusion of ocean education is the production of individuals with limited knowledge of basic ocean principles, who are ill prepared to make informed decisions regarding the health of the ocean and the future of Nova Scotia.

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)0.008
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.723
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.005
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.051
GPT teacher head0.421
Teacher spread0.370 · 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