A case study of topographical disorientation: behavioural intervention for achieving independent navigation
Bibliographic record
Abstract
This study introduces an intervention that enabled a man (LH) with acquired topographical disorientation (TD) to travel independently without fear of getting lost. Adapting an errorless method, LH learned to use a smartphone to find his routes accurately and reliably. A time-series design (A1-B1-A2-B2) was used: In all phases, LH was given a printed map on which city locations were indicated. He had to walk to the indicated locations while naturalistic outcomes were recorded. In Phases A, he navigated without his smartphone, and in Phases B, with it. In Phases A, LH made numerous surplus direction changes, and openly expressed his frustration. In Phases B, he did not have surplus direction changes and could calmly find his routes. Before intervention, LH and his wife were frustrated and worried about his way-finding. They rated their confidence in his navigational ability and his actual ability in way-finding to various locations as low. After intervention, they were more confident that LH could travel by himself without getting lost and rated his ability as much higher for various scenarios. As a consequence of intervention LH gained greater independence and quality of life.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".