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Record W2148157538 · doi:10.1017/s1537592705050413

Humanitarianism as Political Fusion

2005· article· en· W2148157538 on OpenAlexaffabout
Janice Gross Stein

Bibliographic record

VenuePerspectives on Politics · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Security and Public Health
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsInstitutionalisationPoliticsPower (physics)Identity (music)CounterintuitivePolitical scienceSociologyVulnerability (computing)Environmental ethicsPolitical economyLawEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

Michael Barnett has written a brilliant—and sobering—analysis of the dilemmas of humanitarian organizations in contemporary global politics. He argues convincingly that humanitarianism is becoming politicized and that humanitarian organizations are becoming institutionalized. These changes speak to core conceptualizations by humanitarians of themselves and to their capacity to fulfill their most essential functions. Barnett appropriately draws attention to the unexpected, counterintuitive, and at times undesirable consequences of politicization and institutionalization, particularly for ethics and identity. Humanitarian organizations, he concludes, are now far more vulnerable to external control, to the ability of states to constrain their practices and principles. By implication, Barnett concludes, politicization and institutionalization produce negative consequences for humanitarianism. Power is changing what humanitarian organizations do and what they are.Janice Stein is Belzberg Professor of Conflict Management and director of the Munk Centre for International Studies at the University of Toronto (j.stein@utoronto.ca).

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)0.007
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0100.065
Scholarly communication0.0120.012
Open science0.0010.013
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0060.001

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 head0.025
GPT teacher head0.360
Teacher spread0.335 · 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.

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

Citations5
Published2005
Admission routes2
Has abstractyes

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