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Record W4383695628 · doi:10.1111/jnp.12338

Cognitive evaluation and rehabilitation in high‐ and low‐income countries

2023· article· en· W4383695628 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Neuropsychology · 2023
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsnot available
Fundersnot available
KeywordsRehabilitationTanzaniaCognitionLow and middle income countriesCognitive rehabilitation therapyPsychologyCognitive skillPolitical scienceEconomic growthDeveloping countrySociologyPsychiatrySocioeconomicsEconomics

Abstract

fetched live from OpenAlex

Starting from her own personal experience, in the First Part of the article, the author reconstructs how the specialized sectors of cognitive evaluation and rehabilitation evolved in Western countries (Europe, the United States, Canada, and Australia, in particular) during the second half of the last century and the first decades of this century. In the Second Part, she describes her personal experience in setting up a rehabilitation centre dedicated to traumatic brain-injured subjects and her commitment to international cooperation (Bolivia, Rwanda, Myanmar, Tanzania) in the field of cognitive evaluation and rehabilitation in favour of people with congenital and acquired cerebral pathology, especially in the paediatric age, since there is an almost total lack of diagnostic, but above all, rehabilitative procedures for cognitive functions in low-middle income countries. In the Third Part of the article, the author carries out an extensive review of the international literature on the differences in access to cognitive diagnostic evaluation and cognitive rehabilitation in middle- and low-income countries - but not only - underlining the urgent need to launch a major international collaborative effort to reduce and eliminate these discrepancies.

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.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation 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 score0.051
Threshold uncertainty score0.314

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.060
GPT teacher head0.433
Teacher spread0.373 · 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