A flow that comes when we’re talking: water metaphors for exploring intercultural communication during early childhood assessment interactions in a Yolŋu (First Nations Australian) community
Bibliographic record
Abstract
Culture mediates how all people think and communicate and intercultural communication skills are required for effective collaboration. This study (2017–2021) explored intercultural communication with 40 participants in one very remote First Nations Australian community in Northern Australia. We explored the perspectives of both Yolŋu (First Nations Australian people from North-East Arnhem Land) and Balanda (non-Indigenous people, in this case Australian) on interactions during early childhood assessments of Yolŋu children (0–6 years). Our intercultural research team used a culturally responsive form of video-reflexive ethnography, a Yolŋu approach to in-depth discussion and collaborative analysis. In this article, we explore nine intercultural communication processes that were recognized and enacted by study participants. Each process is represented by a metaphor drawn from water traveling in North-East Arnhem Land. We share these processes so that others may consider exploring their relevance in other intercultural communication contexts.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".