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Record W4386699751 · doi:10.1177/09075682231200131

Olfactoscapes in Malawi: Exploring the smells children like and are exposed to in semi-urban classrooms

2023· article· en· W4386699751 on OpenAlexaff
Natalia Kucirkova, Neema Mwenda Chinula

Bibliographic record

VenueChildhood · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Environments and Student Outcomes
Canadian institutionsEarl Haig Secondary School
FundersNorges ForskningsrådJacobs Foundation
KeywordsLiteracySituational ethicsPsychologySociologyField (mathematics)Empirical researchPedagogyField tripFocus groupSocial psychologyEpistemologyPolitical scienceAnthropology

Abstract

fetched live from OpenAlex

Moving beyond the “canned” lens on literacies dominant in contemporary literacy studies in Malawi, this study connects theoretical perspectives on sensory and critical literacies to original empirical data on children’s lived “olfactory literacies”. We focus on situational and locally experienced odours in two classrooms in semi-urban Malawi. We present findings from interviews and drawings with 25 children who shared their olfactory preferences with the local researcher. Children’s views were supplemented with the researcher’s and teachers’ evaluations of the olfactory qualities of their classroom environments. Our study advances the field by being the first to unite theoretical provocations on sensory literacies in global child research with critical and empirical insights into children’s local olfactoscapes.

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)0.001
metaresearch head score (Gemma)0.002
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0040.004
Scholarly communication0.0040.002
Open science0.0010.004
Research integrity0.0010.001
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 head0.043
GPT teacher head0.286
Teacher spread0.243 · 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

Citations3
Published2023
Admission routes1
Has abstractyes

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