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Record W4390910361 · doi:10.3389/feduc.2023.1327421

Narrative inquiry in China

2024· article· en· W4390910361 on OpenAlexafffundabout
Shijing Xu, Michael Connelly, Chenkai Chi

Bibliographic record

VenueFrontiers in Education · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsUniversity of TorontoUniversity of Windsor
FundersSocial Sciences and Humanities Research Council of CanadaUniversity of TorontoUniversity of Windsor
KeywordsNarrativeNarrative inquiryNarrative criticismChinaNarrative networkGeneral partnershipSociologyPedagogyPsychologyPolitical scienceLiteratureArt

Abstract

fetched live from OpenAlex

Narrative inquiry has been widely used in different disciplines around the world. In this article, we focus on narrative inquiry in China where we start by retelling our first close contact with narrative researchers in China in 2007 when Professor Gang Ding at East China Normal University invited leading Chinese researchers to a three-day narrative inquiry workshop co-planned with us (Connelly and Xu). Second, we review narrative studies published in Chinese to demonstrate how widely narrative inquiry has been adopted in educational studies in the country in the past two decades by Chinese university researchers, graduate students, and schoolteachers. Next, our review of English literature of narrative studies related to education in China has two important components: English literature on narrative inquiry contextualized in China and narrative inquiry for reciprocal learning in teacher education and school education between Canada and China. Both reveal how narrative inquiry has contributed to international cross-cultural educational studies related to Chinese contexts. Finally, in the “Discussion” section, we provide our interpretation of some current dialogs on narrative inquiry among Chinese educational researchers; for example, the differences between yanjiu 研究 ( research ) and tanjiu 探究 ( inquiry ). Some heated discussions surrounding narrative inquiry in China are also highlighted, including: (1) cultural complexities in narrative inquiry, (2) theoretical frameworks in narrative inquiry, (3) re-storying and fictionalization processes in narrative inquiry, and (4) ethical considerations in narrative inquiry. To conclude, with cases selected and elaborated from the Canada-China partnership, we demonstrate how narrative inquiry has enabled us to develop “reciprocal learning” as both a conceptual framework and a methodological approach to building a multidimensional bridge for reciprocal learning in education between the West and East. This Reciprocal Learning approach reflects our global comparative studies view that the path to global cross-cultural harmony and understanding lies with collaborative action plans among people of different cultures. Writing this article on narrative inquiry in China enabled us to reflect on and learn from narrative inquirers and researchers in China while sharing what we have done in our own narrative inquiry.

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)0.001
metaresearch head score (Gemma)0.000
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 score0.261
Threshold uncertainty score0.244

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.017
GPT teacher head0.359
Teacher spread0.341 · 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
Published2024
Admission routes3
Has abstractyes

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