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Record W2807999071 · doi:10.55671/0160-4341.1073

Rethinking the Fiscal Relationship Between Public Lands and Public Land Counties: County Payments 4.0

2018· article· en· W2807999071 on OpenAlex
Mark Haggerty

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHumboldt Journal of Social Relations · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicLocal Government Finance and Decentralization
Canadian institutionsHeadwaters Health Care Centre
Fundersnot available
KeywordsPaymentPublic landLand ValuesGeographyNatural resource economicsLand usePolitical scienceEconomicsFinanceLaw

Abstract

fetched live from OpenAlex

In 1908, Congress authorized payments to local governments, including counties and school districts, to compensate for the non-taxable status of the newly established forest reserves within their boundaries. The original program shared revenue generated from commercial activities on public lands, e.g. timber harvesting, not anticipating the major changes in the volume and types of activities on National Forest lands, particularly in the Pacific Northwest, that have played out over the past century. Two subsequent reforms – the appropriated Payments in Lieu of Taxes (PILT) in 1976 and ‘transition’ payments made between 1990 and 2018, including payments associated with the Northwest Forest Plan and the Secure Rural Schools and Community Self-Determination Act (SRS) – have yet to deliver a permanent or effective policy solution that matches county payments to local governments’ economic needs or forest management objectives. This paper analyzes three policy options: a status quo option of PILT and revenue sharing payments; reauthorization of SRS; and the creation of a new permanent trust fund at the federal level. The paper concludes that the trust option (‘County Payments 4.0’) could resolve key challenges by stabilizing and growing revenue over time, eliminating the need for cycles of conditional appropriations, and providing flexibility to address economic and forest management needs in public land counties.

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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.135
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0000.001
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 head0.083
GPT teacher head0.324
Teacher spread0.242 · 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