MétaCan
Menu
Back to cohort
Record W7100744475

Assessment of

2013· article· en· W7100744475 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicElder Abuse and Neglect
Canadian institutionsnot available
Fundersnot available
KeywordsCommissionProfessional associationHealth careAssociation (psychology)Quality (philosophy)Social WelfarePublic healthHuman services
DOInot available

Abstract

fetched live from OpenAlex

legal rights, dignity, autonomy, quality of life, and quality of care of elders. It carries out this mission through research, policy development, technical assistance, advocacy, education, and training. The ABA Commission consists of a 15-member interdisciplinary body of experts in aging and law, including lawyers, judges, health and social services professionals, academics, and advocates. With its professional staff, the ABA Commission examines a wide range of law-related issues, including: legal services to older persons; health and long-term care; housing needs; professional ethical issues; Social Security, Medicare, Medicaid, and other public benefit programs; planning for incapacity; guardianship; elder abuse; health care decision-making; pain management and end-of-life care; dispute resolution; and court-related needs of older persons with disabilities. About the American Psychological Association The American Psychological Association (APA) is the largest scientific and professional organization representing psychology in the United States and is the world’s largest association of psychologists. Through its divisions in 53 subfields of psychology and affiliations with 59 state, territorial, and Canadian provincial associations, APA works to advance psychology as a science, as a profession, and as a means of promoting health, education, and human welfare. The APA Office on Aging coordinates the association’s activities pertaining to aging and geropsychology (the field within psychology devoted to older adult issues). The Committee on Aging (CONA) is the committee

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.710
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0050.000

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 head0.021
GPT teacher head0.361
Teacher spread0.340 · 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.

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
Published2013
Admission routes1
Has abstractyes

Explore more

Same topicElder Abuse and NeglectFrench-language works237,207