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Record W2302868354 · doi:10.1215/03616878-3445619

Institutional Knots: A Comparative Analysis of Cord Blood Policy in Canada and the United States

2015· article· en· W2302868354 on OpenAlexafffundabout
Avram Denburg

Bibliographic record

VenueJournal of Health Politics Policy and Law · 2015
Typearticle
Languageen
FieldMedicine
TopicBiomedical Ethics and Regulation
Canadian institutionsMcMaster University
FundersCanadian Institutes of Health Research
KeywordsCord bloodUmbilical cordTransplantationPolitical sciencePublic administrationEconomic growthMedicineEconomicsInternal medicineImmunology

Abstract

fetched live from OpenAlex

Umbilical cord blood is a rich source of blood stem cells, which are of critical clinical importance in the treatment of a variety of malignant and genetic conditions requiring stem cell transplantation. Many countries have established national public cord blood banks; such banks often coexist with a panoply of private options for cord blood banking. Until recently, Canada was the only G8 country without a national cord blood bank. This differs markedly from the United States, which years ago established a national cord blood bank policy and inventory. This article investigates potential reasons for this discrepancy through a comparative analysis of the evolution of programs and policies on national cord blood banking in Canada and the United States. My analysis suggests that cross-national discrepancies in policy on public cord blood banking were determined primarily by institutional factors, principal among them formal governmental structure and the legacy of past policies. Institutional entrepreneurialism in the health sector played a constitutive role in the earlier evolution of national cord blood policy in the United States as compared to Canada.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.783
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.077
GPT teacher head0.407
Teacher spread0.330 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
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
Published2015
Admission routes3
Has abstractyes

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