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Record W2612686263 · doi:10.1080/13504622.2017.1326019

Going back and beyond: children’s learning through places

2017· article· en· W2612686263 on OpenAlexafffundabout
Claudia Díaz-Díaz

Bibliographic record

VenueEnvironmental Education Research · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous and Place-Based Education
Canadian institutionsUniversity of British Columbia
FundersUniversity of British Columbia
KeywordsEnvironmental educationPlace-based educationSocial connectednessConstitutionSociologyPerspective (graphical)Outdoor educationPedagogyNatural (archaeology)Rural areaSpace (punctuation)PsychologyGeographySocial psychologyPolitical science

Abstract

fetched live from OpenAlex

In 1919, the Canadian province of British Columbia (BC) established the Elementary Correspondence (EC) School to provide formal education for children living in rural areas with difficult access to a school. Through children’s letters, this paper interrogates the concept of place, a key one for placed-based approaches to environmental education. Place-based education has focused on natural and rural environments to engage students in environmental learning, sometimes presenting the desirability of connectedness to nature and the local community with nostalgia and romanticism. Children’s letters suggest that their learning has long been shaped by their places, material and imaginary, and that the EC school was a place as important as nature in children’s learning and schooling. Children’s letters contribute a rich historical perspective that helps to rethink the rural/urban divide into a relationship of mutual constitution of childhood and nature across time and space.

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 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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.365
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0060.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.038
GPT teacher head0.400
Teacher spread0.361 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2017
Admission routes3
Has abstractyes

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