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Record W7079443502 · doi:10.13016/m28eqv-itxv

Occupational engagement: African American culinary ministers' perceptions and beliefs about meal preparation and eating practices

2020· article· en· W7079443502 on OpenAlexaboutno aff

Bibliographic record

VenueMaryland Shared Open Access Repository (USMAI Consortium) · 2020
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsAfrican americanMealPerceptionFocus groupQualitative researchHealth equityChristian ministryHealthy eatingCommunity health

Abstract

fetched live from OpenAlex

The purpose of this study was to understand the perceptions about the food, food preparation practices, and eating practices of African American culinary ministers who participate in a faith-based action research project to promote health within the church community. Eating and food challenges exist within many African American communities that contribute to the disproportionate numbers who are affected by chronic diseases. Food deserts which limit food choices contribute to disproportionate spread of chronic disease among African Americans (Donkin et al., 1998). Health illiteracy about healthy eating practices combined with low income and poor education also contribute to health disparities within the African American community (Ownby et al., 2012). Current health care services and nutritional improvements efforts in the African American community are insufficient to address this epidemic. The African American church through its ministries, may be able to provide faith-based community health initiatives to improve the health of the community. The culinary ministry may be one of the ministries able to provide such an initiative because they are the trusted source responsible for meal preparation within the African American church. However, no studies could be found about the beliefs and perception of culinary ministers related nutritional meal preparation and eating practices. Thus, the current study was launched. Of the 9 culinary ministers who volunteered to participate in the research project, 8 completed the entire process. The data collection process included 2 focus groups, 7 learning sessions and a meal preparation session. The culinary ministers prepared a healthy meal for 30 members of the Seniors Ministry. During the initial focus group, a Food Diary (FD) produced by the University of Western Ontario (Appendix D) was distributed to the culinary ministers. Participants were asked to include the food, beverages and portion sizes of meals over a 5-day sequence. The FD was collected from the culinary ministers during the final focus group. The transformative mixed research method was utilized to collect and analyze the findings. The Person-Environment-Occupational Performance Model (PEOP) and the Health Belief Model served as the theoretical lenses for this study. Occupational science, with its focus on the intersectionality of people, their environments, and their daily life occupations, provided the disciplinary lens for interpreting historical and current factors influencing the perceptions about the food, food preparation practices, and eating practices of African American culinary ministers. The five themes that emerged from the data analysis were: authority and voice; holiday and everyday foods; food, health, and faith; trust and distrust of the health care system; and group supports. These themes revealed the interplay of person, environmental, and occupation factors on the occupational performance of the culinary ministers and their perceptions about their occupational roles for influencing the health of the church members. Some of the factors were assets and contributed to the occupational performance and positive perceptions; other factors created barriers to achievement and fulfillment of occupational roles.

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)0.005
metaresearch head score (Gemma)0.009
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 score0.014
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.003
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.071
GPT teacher head0.361
Teacher spread0.290 · 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
Published2020
Admission routes1
Has abstractyes

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