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Record W2059213693 · doi:10.1177/0020872807085855

Redefining social work standards in the context of globalization

2008· article· fr· W2059213693 on OpenAlexaff
M Alphonse, Purnima George, Ken Moffatt

Bibliographic record

VenueInternational Social Work · 2008
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsGlobalizationContext (archaeology)HumanitiesPolitical scienceSociologyGeographyPhilosophy

Abstract

fetched live from OpenAlex

English Globalization impacts on all countries, adversely affecting developing countries such as India. Global and national standards for social work education should develop appropriate perspectives addressing the negative feelings of communities. The conception of 'self' as defined by the west needs to be seen in the context of communal relations of the east. French La mondialisation affecte toutes les nations, mais a un impact défavorable dans des pays en développement tels que l'Inde. Les normes mondiales et nationales de formation en travail social devraient développer des perspectives permettant d'en réduire les effets négatifs ressentis par les communautés. La conception du 'soi' (définie par l'occident) nécessite d'être vue dans le contexte des relations communales de l'orient. Spanish La globalización impacta a todos los países, afectado negativamente a naciones en desarrollo como la India. Los estÁndares globales y nacionales para la educación del Trabajo Social deberían desarrollar perspectivas para denunciar los efectos negativos que afectan a las comunidades. La concepción del "ser" (definida por el Occidente) necesita ser vista en el contexto de las relaciones comunales con el Oriente.

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)0.024
metaresearch head score (Gemma)0.017
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 score0.024
Threshold uncertainty score0.128

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0240.017
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0130.086
Scholarly communication0.0200.011
Open science0.0020.020
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0030.000

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 head0.056
GPT teacher head0.383
Teacher spread0.327 · 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

Citations54
Published2008
Admission routes1
Has abstractyes

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