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Record W6996942685

Supplemental Information to the August 2008 Housing Task Force Report, August 2008

2008· other· en· W6996942685 on OpenAlexaboutno aff

Bibliographic record

VenueIowa Publications Online (State Library of Iowa) · 2008
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
FundersFederal Emergency Management Agency
KeywordsTask forceCommissionState (computer science)Task (project management)Resource (disambiguation)Baseline (sea)Quarter (Canadian coin)Public housing
DOInot available

Abstract

fetched live from OpenAlex

Few disaster recovery initiatives are more important than those that house the people and assist them to repair or replace their homes. The widespread damage to housing from the tornadoes, storms, and floods in 2008 creates greater challenges in housing than the state has faced from previous disasters. The Housing Task Force gratefully submits its Report to the Rebuild Iowa Advisory Commission as an opportunity to place data, issues, priorities and recommendations before residents, communities, state officials, and policymakers at all levels for consideration of how best to guide, support, and resource these efforts. Quantifying the impact of the disasters on communities is daunting. The many personal accounts and sets of community statistics paint pictures of Iowans who have emerged from the rubble or muck of their homes with a determination and commitment to rebuild not just like they were previous to the disasters, but better and stronger. Damage statistics are telling. Supplemental Information to the August 2008

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)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.690
Threshold uncertainty score0.442

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.6900.513

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 head0.016
GPT teacher head0.259
Teacher spread0.243 · 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 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
Published2008
Admission routes1
Has abstractyes

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