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Record W2161268829 · doi:10.7202/013346ar

Folklore and Literacy: A View from Nova Scotia

2006· article· en· W2161268829 on OpenAlexvenueaboutno aff
Seana Kozar

Bibliographic record

VenueEthnologies · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsWindsorFolkloreLiteracyNova scotiaDocumentationEthnographySociologyQualitative researchClass (philosophy)Information literacyPedagogyLibrary scienceSocial scienceAnthropologyEthnologyComputer science

Abstract

fetched live from OpenAlex

This article describes a pilot project in museum based literacy learning that took place in Windsor, Nova Scotia in the autumn of 1999. The author coordinated the project in close consultation with a local literacy practitioner. The Windsor study was part of a national project undertaken by the Canadian Museums Association and funded by a SSHRC Strategic Research Grant Initiative. The project attracted four female participants, although one left before completing her research for personal reasons. The women chose objects as topics for study, and were given assistance with research and documentation techniques. As a discourse involving traditions of expressive behaviour and worldview, folklore plays an important role in literacy education. Specifically, this discussion examines the interactions between the participants, their chosen topics, and the museum environments, and underscores the need for an understanding of value, class, gender and contexts of use in an appreciation of literacy. A review of relevant literature is included, focusing on ethnographic studies of literacy with particular emphasis on recent work in Atlantic Canada. Outcomes of the study and future directions for this kind of community based, qualitative research are also discussed.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.730
Threshold uncertainty score0.997

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.092
GPT teacher head0.389
Teacher spread0.296 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations2
Published2006
Admission routes2
Has abstractyes

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