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Record W4224255431 · doi:10.1080/14729679.2022.2067201

Defining a nature-based literacy: A research synthesis review of health-promoting literacies to promote nature engagement

2022· article· en· W4224255431 on OpenAlex
Michelle Barrette, Wanda Boyer, Patti‐Jean Naylor, Nevin J. Harper

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

VenueJournal of Adventure Education & Outdoor Learning · 2022
Typearticle
Languageen
FieldPsychology
TopicAnimal and Plant Science Education
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsLiteracyPedagogyOutdoor educationSociologyPsychology

Abstract

fetched live from OpenAlex

Children and youth in contemporary western society spend less time outdoors compared to previous generations. Increased use of technology, lack of green space, and concerns for risk and safety have contributed to a generation of children spending too much time indoors. A disconnection between children and nature has occurred. Our team conducted a research synthesis review of several empirically defined non-traditional literacies (physical literacy, media literacy, health literacy, nutrition literacy, and ecological literacy) to identify common components used to conceptualize, define, and describe a new nature-based literacy. Findings included four common components: (a) Motivation, (b) Knowledge, (c) Competence, and (d) Confidence. Operationalizing nature-based literacy into a set of capability domains are described as a practical way of re-engaging children and youth with the natural world. Recommendations for future research and practice are shared.

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)0.015
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.836
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.004
Insufficient payload (model declined to judge)0.0020.000

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 head0.037
GPT teacher head0.431
Teacher spread0.394 · 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