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Record W7120880503

A book of recipes to scare away the sadness: the traditional food know-how from the dry and wet wilderness in the north of Minas Gerais

2022· dissertation· pt· W7120880503 on OpenAlexaboutno aff
Thaynara Thaissa Dias Guimarães

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2022
Typedissertation
Languagept
FieldAgricultural and Biological Sciences
TopicFood, Nutrition, and Cultural Practices
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativeWildernessSubjectivityTRIPS architectureField (mathematics)Everyday lifeField researchHuman geography
DOInot available

Abstract

fetched live from OpenAlex

This thesis aimed to analyze the aspects that involve the production of traditional food from the dry and wet north-mineiro and what is the relationship between traditional food and the way of life of the sertanejo populations. It also sought to interpret and analyze, specifically, to analyze the influence of practices and knowledge associated with the territory of the populations of the dry and wet backlands in the formulation of the know-how of traditional food; how sertanejas and sertanejos experience the know-how of traditional food in the present and what is the social narrative of food and the relationship it constitutes between the dry and wet backlands. In order to develop this research, a methodology capable of involving the complexity and subjectivity existing between know-how and traditional food was needed, so I made use of the triangulation of qualitative methods: bibliographic research, documentary research and field trips. Field observations took place in open-air markets, traditional festivals and academic events that had the leading role of the populations studied and also in the communities visited. In total, 54 people participated in this research, of which 36 are allocated in 13 family nuclei. The observations obtained in the field constituted the categories of analysis of this research, since it was only after the field trips that it was possible to transform the native categories into analytical ones, in this way, memory and everyday life guided the theories used here, covering western philosophical theories and Amerindians, food anthropology, literature, phenomenology and territory. This research made it possible to understand that the territory is the place of knowledge of the sertanejo peoples of the dry and wet backlands, where authentic, plural food is established, which reverberates the history of its people. Traditional food in this research is a mediator and constituent of social life, it is formed in everyday life, it represents the vital force of tradition that moves in time and space through affection and sociability, transported between generations by a collective memory that is anchored in artifacts. knowledge and, therefore, does not exist apart from subjects. Tradition and food imbued with elementary gestures and attentive looks. A know-how that is never summarized, inventive, which is given by métis, composed of intelligence, practice, astuteness and creativity, whose routine of the look shapes the routine of the gesture. It has in childhood the depository center of knowledge. A childhood crossed by the temporality of waiting and patience and, therefore, subject to a reinvented and changing tradition, in a constant dialectic of old and new, but always recognized in ancestry.

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)0.001
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 score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.003
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.031
GPT teacher head0.238
Teacher spread0.207 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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