MétaCan
Menu
Back to cohort
Record W1762051346 · doi:10.47381/aijre.v23i1.648

Contemporary Paradigms of Rural Teaching: The Significance of Place

2013· article· en· W1762051346 on OpenAlexaff
Nicole Green, Genevieve Noone, Andrea Nolan

Bibliographic record

VenueAustralian and International Journal of Rural Education · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Systems and Policy
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsSociologyRelevance (law)PedagogyInterpersonal communicationConceptual frameworkRural areaTeacher educationEveryday lifePublic relationsSocial sciencePolitical science

Abstract

fetched live from OpenAlex

This paper begins by setting the scene with an overview of a recent literature review examining teacher preparation for rural and remote settings. The discussion considers the relevance of the findings, exploring possibilities of reconceptualising rural teacher education. The next section of the paper engages with a move away from a deficit model and negative perceptions of rural Australia, to consider more contemporary paradigms of rural teaching. Two studies will be presented which have drawn upon various research methods and conceptual frameworks to inquire with families and teachers about the everyday life of living and working in rural and/or remote locations. The research methods and conceptual frameworks of the studies shared in this paper contribute to on-going research and offer possible foci for conversations about enabling approaches for rethinking rural and remote locations as not simply a physical location, but the ‘whole experience of being there’. The findings of the literature review and the two studies suggest that more attention to the personal, interpersonal and collective experiences of (rural) place, in both pre-service teacher preparation and early career teacher support, may assist in teacher transitions into rural and remote education settings.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0070.053
Scholarly communication0.0080.010
Open science0.0020.009
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.387
Teacher spread0.336 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations36
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueAustralian and International Journal of Rural EducationSame topicEducation Systems and PolicyFrench-language works237,207