MétaCan
Menu
← Back to cohort
Record W2538075635 · doi:10.1016/j.jalz.2016.06.2007

P3‐342: Deinstitutionalization of the Alzheimer’S Field

2016· article· en· W2538075635 on OpenAlexaff
Cory E. Cronin, Brian Gran, Peter J. Whitehouse, Susan Molchan

Bibliographic record

VenueAlzheimer s & Dementia · 2016
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAutonomyRestructuringPublic relationsPolitical scienceFlexibility (engineering)Field (mathematics)Public administrationCorporate governanceSociologyManagementLaw

Abstract

fetched live from OpenAlex

The field of Alzheimer’s research is experiencing rapid change, characterized in part by a greater emphasis on the search for a pharmacological cure. As a result, the national advocacy organization, the Alzheimer’s Association, is at a crossroads. The organization has always tried to serve a multi-faceted purpose, including cure and care orientations, but national governance is now restructuring the organization to focus on national priorities. In response, local chapters have raised concerns over how this centralization affects their abilities to respond to local needs, such as ongoing efforts of patient and caregiver advocacy, education, and support. This study asks whether the emergence of competing priorities of the national organization (such as organizational cohesion and a national research agenda) and of local chapters (such as local autonomy and dedication to community services) represents a deinstitutionalization of the Alzheimer’s field. Advocacy organizations largely use electronic means to communicate: the publication of mission statements, briefs, memos, and press releases via their web sites. These public statements and publications served as data sources for this study. Analytical methods consist of network analysis and content analysis, which are conducted in an effort to understand how the trajectory of the priorities across the field may be changing. Many local chapters’ public statements are showing departure from the national organization as they seek to retain autonomy and flexibility. Several chapters of the national organization have elected to cut ties with the national organization entirely, becoming their own entities, including major and founding chapters like New York, Los Angeles, and others. Others, however, have published statements in support of the national organization’s mission and efforts. As the national Alzheimer’s Association reshapes itself, individual chapters with differing priorities or a dedication to greater autonomy are cutting ties, indicating that the more centralized structure of the national organization may actually result in decentralizing the overall field of Alzheimer’s advocacy and research.

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)0.010
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.990
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0100.013
Scholarly communication0.0080.007
Open science0.0020.012
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0080.001

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 head0.071
GPT teacher head0.350
Teacher spread0.280 · 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.

Study designQualitative
DomainEvaluation
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
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueAlzheimer s & Dementia→Same topicFamily and Disability Support Research→French-language works237,207→