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Record W3112347118 · doi:10.1186/s42779-020-00075-z

Indigenous and traditional foods of Sri Lanka

2020· article· en· W3112347118 on OpenAlexaff
Sachithra Mihiranie, Jagath K. Jayasinghe, Chamila Jayasinghe, Janitha P.D. Wanasundara

Bibliographic record

VenueJournal of Ethnic Foods · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCulinary Culture and Tourism
Canadian institutionsAgriculture and Agri-Food Canada
FundersUniversity of Sri Jayewardenepura
KeywordsIndigenousSri lankaTraditional knowledgeGeographySocioeconomicsTraditional medicineMedicineEnvironmental planningEcologySociologyBiology

Abstract

fetched live from OpenAlex

Abstract Indigenous and traditional foods of Sri Lanka inherit a long history and unique traditions continued from several thousands of years. Sri Lankan food tradition is strongly inter-wound with the nutritional, health-related, and therapeutic reasoning of the food ingredients and the methods of preparation. The diverse culinary traditions and preparations reflect multipurpose objectives combining in-depth knowledge of flora and fauna in relation to human well-being and therapeutic health benefits. Trans-generational knowledge dissemination related to indigenous and traditional food is now limited due to changing lifestyles, dwindling number of knowledge holders, and shrinking floral and faunal resources. Awareness on the relationship between non-communicable diseases and the diet has garnered the focus on traditional ingredients and foods by the consumers and major food producers in Sri Lanka. This review presents concise details on the indigenous and traditional foods of Sri Lanka, with scientific analysis when possible.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.106
GPT teacher head0.259
Teacher spread0.153 · 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 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

Citations51
Published2020
Admission routes1
Has abstractyes

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