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Record W2463451521 · doi:10.1097/aud.0000000000000309

The Implications of Cognitive Aging for Listening and the Framework for Understanding Effortful Listening (FUEL)

2016· review· en· W2463451521 on OpenAlexaff
Natalie A. Phillips

Bibliographic record

VenueEar and Hearing · 2016
Typereview
Languageen
FieldNeuroscience
TopicHearing Loss and Rehabilitation
Canadian institutionsConcordia University
FundersEuropean Commission
KeywordsActive listeningCognitionPsychologyContext (archaeology)DementiaNormativeCognitive psychologyDevelopmental psychologyDiseaseMedicineNeurosciencePsychotherapist

Abstract

fetched live from OpenAlex

This review article considers some of the age-related changes in cognition that are likely to interact with hearing, listening effort, and cognitive energy. The focus of the review is on normative age-related changes in cognition; however, consideration is also given to older adults who experience clinically significant deficits in cognition, such as persons with Alzheimer's disease or who may be in a preclinical stage of dementia (mild cognitive impairment). The article distinguishes between the assessment of cognitive function for clinical versus research purposes. It reviews the goal of cognitive testing in older adults and discusses the challenges of validly assessing cognition in persons with sensory impairments. The article then discusses the goals of assessing specific cognitive functions (processing speed and attentional processes) for the purpose of understanding their relationships with listening effort. Finally, the article highlights certain concepts that are likely to be relevant to listening effort and cognitive energy, including some issues that have not yet received much attention in this context (e.g., conation, cognitive reserve, and second language speech processing).

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 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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.577
Threshold uncertainty score0.909

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.150
GPT teacher head0.401
Teacher spread0.251 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreReview

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

Citations46
Published2016
Admission routes1
Has abstractyes

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