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Record W4229805526 · doi:10.1177/103841620501400302

Interview with Barrie Irving and Beatriz Malik

2005· article· en· W4229805526 on OpenAlexaboutno aff

Bibliographic record

VenueAustralian Journal of Career Development · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Education Studies and Reforms
Canadian institutionsnot available
Fundersnot available
KeywordsMulticulturalismSociologySocial justiceDiversity (politics)Promotion (chess)FaithCareer developmentEconomic JusticePedagogyMedia studiesManagementPolitical scienceSocial scienceLawTheology

Abstract

fetched live from OpenAlex

Barrie Irving has a research and teaching background in careers. Until recently he was a Senior Visiting Research Fellow, Department for Career and Personal Development, Canterbury Christ Church University College, UK. He has written widely on social justice and related issues and recently co-authored In good faith: Schools, religion and public funding, published in 2004 by Ashgate. With Beatriz Malik, he has also co-edited Critical reflections on career education and guidance. Promoting social justice within a global economy, published by Routledge-Falmer in 2005. Beatriz Malik is Assistant Professor in Educational and Career Guidance at the National University of Distance Education (UNED) in Madrid. Her fields of research and teaching include intercultural education, social mediation and counsellor qualifications. She is also interested in multiculturalism in guidance, career guidance programs (specifically how they address career diversity), students with disabilities and the promotion of social justice. In this interview, the AJCD discusses a range of issues with career researchers and writers, Barrie Irving (BI) and Beatriz Malik (BM).

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.856
Threshold uncertainty score0.333

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.063
GPT teacher head0.303
Teacher spread0.240 · 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 designNot applicable
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
Published2005
Admission routes1
Has abstractyes

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