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Record W4392870523 · doi:10.61838/kman.jprfc.1.2.1

Cultural Sensitivity in Family Research: Bridging Gaps

2023· article· en· W4392870523 on OpenAlexaff
Mehdi Rostami, Shokouh Navabinejad

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Competency in Health Care
Canadian institutionsnot available
Fundersnot available
KeywordsCultural sensitivityBridging (networking)Equity (law)Culturally sensitiveHealth careFamily centered carePublic relationsSociologyPsychologyPolitical scienceSocial psychologyPsychotherapistComputer science

Abstract

fetched live from OpenAlex

We are writing to address the crucial issue of cultural sensitivity in family research and the necessity to bridge gaps and expand horizons in this area. The significance of cultural sensitivity in family research cannot be overstated, as it plays a pivotal role in ensuring the provision of effective and inclusive family-centered care. This letter aims to synthesize and integrate relevant literature to underscore the importance of cultural sensitivity in family research and to advocate for the adoption of culturally sensitive approaches in this domain. The existing literature underscores the critical importance of cultural sensitivity in family research and the provision of family-centered care. The integration of culturally sensitive approaches in family research and healthcare practices is essential to bridge gaps and expand horizons, ensuring the inclusivity and effectiveness of services provided to diverse families. It is imperative for researchers, practitioners, and policymakers to prioritize cultural sensitivity in family research and healthcare to foster an environment of inclusivity and equity.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.446
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.305
GPT teacher head0.490
Teacher spread0.185 · 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.

Study designObservational
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
Published2023
Admission routes1
Has abstractyes

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