MétaCan
Menu
← Back to cohort
Record W2997839770

Is the structuring effect of environment elements on route learning absolute or relative?

2018· preprint· en· W2997839770 on OpenAlexaff
Christel Jacob, Constant Rainville, Alain Trognon, Reinhard Fescharek, Isabelle Clerc Urmes, Thérèse Rivasseau‐Jonveaux

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2018
Typepreprint
Languageen
FieldEnvironmental Science
TopicUrban Green Space and Health
Canadian institutionsInstitut Universitaire de Gériatrie de Montréal
Fundersnot available
KeywordsMemorizationTask (project management)Computer sciencePopulationStructuringCognitive psychologyPsychologyArtificial intelligenceMedicineEngineeringEnvironmental health
DOInot available

Abstract

fetched live from OpenAlex

Introduction To memorize a path and then be able to retrace its steps in a new environment, one of the strategies consists in memorizing a succession of landmarks associated with a given direction. It has been shown that Alzheimer's disease (AD) leads to a deficit in memory, from the early stage of the disease [1-2]. However, health care facilities in which the studies are generally conducted have been described as poor in terms of land-marks and may thus increase disorientation. The purpose of this comparative study was to assess the structuring effect of the elements of a real environment, rich in landmarks, on learning (forward and return trips), in a population of AD and healthy control (HC) subjects. 2 Methodology Thirty subjects at mild to moderate stage of the disease and 30 matched HC underwent learning: after 1 learning (forward trip), they were asked to reproduce it in the same direction 2 times, then a third time in the opposite direction (return trip). The task was carried out in the healing garden art, memory and life of the CHRU of Nancy, designed to contribute among others, to mitigate spatial disorientation [3]. 3 Results As expected, subjects with AD committed significantly more errors than the HC, re-gardless of the trip. However, contrary to the literature data, the AD subjects did not make more mistakes in the return trip than in the forward trip, which is a more complex task [4-5]. In addition, the analysis of the location of the errors along the showed that they were not located in the same areas of the in forward and return trips. According to the qualitative analyzes, the salience of the elements of the environment but also their perceived affordance [6] (their possibilities of action) have influenced the directional choices and this in a different way according to the trip (forward-return) and the group (AD-HC). 4 Discussion After several trials, the subjects with Alzheimer have thus acquired some knowledge of the route type. The nature of the environment, rich in landmarks, seemed to favor this acquisition. To reproduce a requires, at least, memorizing a direction associated with a given place / landmark. This association was favored by the perceived affordance of the elements which depended on: 1) the point of view of the subject and thus, varied according to the direction of the trip: backward/return; 2) cognitive control abilities, and so, varied by group: HC/AD. This study shows that the elements of the environment have a structuring effect on learning performance that is not absolute but relative to these 2 factors: direction of the trip and the cognitive control abilities of the subjects.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.016
GPT teacher head0.244
Teacher spread0.228 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueHAL (Le Centre pour la Communication Scientifique Directe)→Same topicUrban Green Space and Health→French-language works237,207→