Interface childhood: emoji mapping as a method of gaining the perspective of Belfast children on their local urban environment
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In Belfast, long standing peace walls continue to divide communities physically and emotionally, shaping everyday realities of children growing up in interface areas. Despite policy frameworks supporting children’s participation, their perspectives remain largely absent from planning and regeneration processes. This paper explores children’s emotional geographies using an innovative method: emoji mapping. As part of a wider PhD research project, emoji mapping was applied during a series of four-day workshops which engaged 47 children aged 7 to 13 years. Through the mapping exercise and informal conversations, children expressed their emotional attachments to local spaces, revealed constrained mobility patterns, highlighted internalised boundaries and place quality. Findings show that spatial segregation is not only material but deeply embedded in children’s cognitive and emotional landscapes. The paper reflects on the potential of emoji mapping to meaningfully engage children in post-conflict urban research and planning, offering recommendations for practitioners seeking more inclusive, child-centred approaches to urban futures.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 it