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Record W4385416869 · doi:10.46743/2160-3715/2023.4775

Giving Voices to Jamaican Canadian Immigrant Women: A Heuristic Inquiry Study

2023· article· en· W4385416869 on OpenAlexafffundabout
Sandra Dixon, Dania Amin, Nancy Arthur

Bibliographic record

VenueThe Qualitative Report · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicParental Involvement in Education
Canadian institutionsUniversity of Lethbridge
FundersUniversity of Lethbridge
KeywordsSociologyFaithPostmodernismQualitative researchGender studiesImmigrationIdentity (music)SalientSocial constructionismInterviewFlexibility (engineering)Social psychologyEpistemologyPsychologySocial scienceAnthropologyAesthetics

Abstract

fetched live from OpenAlex

The Heuristic Inquiry (HI) qualitative method applied in this study explored the role of Pentecostal faith in the post-migration lived experiences of Jamaican Canadian immigrant women (JCIW). Semi-structured interviews were conducted with seven JCIW whose Pentecostal faith helped them to reconstruct their cultural identity post-migration. The creative flexibility of HI allowed for the integration of the primary researcher’s (i.e., first author's) voice into the study alongside those of the co-researchers. Positioning the study within a postmodern social constructionism theoretical framework created space for multiple realities to emerge that were constructed through social interaction and language. These realities were evident in the unique ways in which the JCIW used faith to reconstruct their cultural identity during the migration process. Results revealed four key categories and 10 salient themes which were used to inform theory, research, and practice for counseling professionals. Recommendations for future research in using HI and the topic of cultural identity are discussed.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation 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 score0.087
Threshold uncertainty score0.760

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.230
GPT teacher head0.534
Teacher spread0.304 · 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 teacher head, 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

Citations5
Published2023
Admission routes3
Has abstractyes

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