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Record W7015797681

Title III-E Report YTD 1st Quarter-4th Quarter 2007 
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2007· other· en· W7015797681 on OpenAlexaboutno aff

Bibliographic record

VenueIowa Publications Online (State Library of Iowa) · 2007
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Government (linguistics)Service (business)Title IIIState (computer science)Subject (documents)
DOInot available

Abstract

fetched live from OpenAlex

Family Caregiver Support Program (Title III-E) - The Administration on Aging (AoA) has determined that for Title III-E, the actual family caregiver is the client, not the older person receiving the services. Iowa NAPIS (National Aging Program Information System) collects and reports Title III-E service/performance data and related program management information to the federal and state government in a format like the other Title III services. The major shift in reporting relates to who is the client. As a result, this Title III-E Client/Service Unit Report shows the number of caregivers who receive services and the number of units by service category from the Title III-E funding of the Older Americans Act, the AoA, and limited state general fund dollars. Additionally, it shows the number of persons served by individual services and total "unduplicated" client count across all services. In other words, if you add the total number of clients (caregivers) from all services, it is higher than the actual number of persons served across all services because some people need and receive more than one service. (Please note: this is preliminary data, and may be subject to change.) 
\nTitle III-E Report YTD 1st Quarter 2007 
\nTitle III-E Report YTD 2nd Quarter 2007 
\nTitle III-E Report YTD 3rd Quarter 2007 
\nTitle III-E Report YTD 4th Quarter 2007 
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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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.050
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0690.018

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 head0.017
GPT teacher head0.278
Teacher spread0.261 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2007
Admission routes1
Has abstractyes

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