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Record W1974662705 · doi:10.1525/maq.2005.19.1.047

The Safety Net of the Safety Net: How Federally Qualified Health Centers "Subsidize" Medicaid Managed Care

2005· review· en· W1974662705 on OpenAlex

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueMedical Anthropology Quarterly · 2005
Typereview
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsnot available
FundersAgency for Healthcare Research and QualityConcordia University of Edmonton
KeywordsSafety netMedicaidMedicaid managed careSubsidyManaged careWelfare reformBusinessWelfareHealth carePovertyEconomic growthMedicinePolitical scienceEnvironmental healthEconomicsLaw

Abstract

fetched live from OpenAlex

In this article, I examine the impact of neoliberalism and welfare reform on the delivery of Medicaid, specifically how the advent of Medicaid managed care (MMC) has been wrought with contradictions, placing increased burdens on primary safety-net organizations and impacting the many communities they serve. I argue that federally qualified health centers (FQHCs) operate as a primary safety net among safety-net providers, supporting and subsidizing New Mexico's MMC program financially and administratively. By presenting ethnographic data, I will demonstrate how FQHCs pay many of the hidden financial and institutional costs of the shift to managed care. Such findings uncover paradoxes inherent to neoliberal ideologies and privatization, raising questions about the efficacy of a managed care system for Medicaid as well as the future of the health care safety net and access to health care for the diverse populations it serves.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.971
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.051
GPT teacher head0.343
Teacher spread0.292 · 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