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Record W2025635190 · doi:10.1177/0020872807073990

In the Third Space

2007· article· fr· W2025635190 on OpenAlexaffabout
Constance A. Barlow

Bibliographic record

VenueInternational Social Work · 2007
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPracticumSociologyHumanitiesPolitical sciencePedagogyArt

Abstract

fetched live from OpenAlex

English Utilizing data derived from Indian field instructors, Indian administrators and students, this article considers the experience of Canadian social work practicum students in India within the conceptual framework of Bhabha's Third Space. It concludes with implications for social work international field education. French En s'inspirant de données provenant de superviseurs, d'administrateurs et d'étudiants indiens, cette étude se penche sur l'expérience d'étudiants canadiens en stage de travail social en Inde, et qui se sont inspirés du cadre conceptuel du troisième espace de Bhabha. Cette étude tire des conclusions pour l'enseignement du travail social international. Spanish Se considera la experiencia de trabajo de campo de estudiantes canadienses en la India. Se utilizan los datos derivados de los instructores de campo y administradores de la India, y de los estudiantes mismos. El trabajo de campo estaba enmarcado conceptualmente por el Bhabha's Tercer Espacio. Se concluye con implicaciones para las prácticas de trabajo social en el campo internacional.

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)0.001
metaresearch head score (Gemma)0.005
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 score0.112
Threshold uncertainty score0.375

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0100.007
Scholarly communication0.0120.004
Open science0.0010.007
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1120.015

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 head0.040
GPT teacher head0.401
Teacher spread0.361 · 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

Citations47
Published2007
Admission routes2
Has abstractyes

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