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Record W4393060076 · doi:10.29173/cjfy29985

Researching Human Action in Saudi Arabia: Adapting and Using the Qualitative Action-project Method

2024· article· en· W4393060076 on OpenAlexaffvenue
Aziza A. Alnuaim, Hind Khalifa, Richard A. Young, Sheila K. Marshall, Natalee Popadiuk

Bibliographic record

VenueCanadian Journal of Family and Youth / Le Journal Canadien de Famille et de la Jeunesse · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicSocioeconomic Development in MENA
Canadian institutionsUniversity of VictoriaUniversity of British Columbia
FundersDeanship of Scientific Research, King Saud UniversityKing Saud University
KeywordsAction (physics)Action researchComputer sciencePsychologyMathematics educationPhysics

Abstract

fetched live from OpenAlex

Researchers working in various regions of the world, such as Saudi Arabia, where little joint research has been conducted on youth together with their families, tend to adopt theories and research methods with less than full transparency about how the researchers have adapted them. In this article, we describe the action-project method, a qualitative research method for conducting research with particular application to unique and understudied cultural contexts. The method was used to describe the joint processes between parents and adolescents in a Saudi-Arabian sample. It is based on a conceptualization of human behavior as process oriented, systemic phenomena in which context and culture are critical to an integrated understanding of the person. The method uses a longitudinal design involving observations and interviews. The cultural application of this method to the study of transition-to-adulthood processes in Saudi Arabia is addressed, including its cultural appropriateness and the process of adapting and using it in Saudi Arabia.

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)0.062
metaresearch head score (Gemma)0.029
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.938
Threshold uncertainty score0.330

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0620.029
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0060.007
Scholarly communication0.0050.003
Open science0.0020.006
Research integrity0.0010.002
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 head0.160
GPT teacher head0.456
Teacher spread0.296 · 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.

Study designTheoretical or conceptual
DomainMethods
GenreMethods

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
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of Family and Youth / Le Journal Canadien de Famille et de la JeunesseSame topicSocioeconomic Development in MENAFrench-language works237,207