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Record W2110948420 · doi:10.1177/103841620801700305

Social Justice and Career Development: Views and Experiences of Australian Career Development Practitioners

2008· article· en· W2110948420 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueAustralian Journal of Career Development · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicCareer Development and Diversity
Canadian institutionsAthabasca UniversityUniversity of Calgary
FundersCanada Research ChairsAthabasca University
KeywordsCareer developmentPsychological interventionSociologyPublic relationsSocial changeEconomic JusticeSocial workContext (archaeology)Social justicePerspective (graphical)PsychologyPolitical scienceSocial sciencePedagogyLaw

Abstract

fetched live from OpenAlex

Career development practice had its origins in social justice reform over 100 years ago. A social justice perspective requires practitioners to examine the environmental context of their work, including the social, economic and political systems that influence people's career development. Achieving socially just outcomes for clients may necessitate intervention in these systems. While social justice is receiving a resurgence of interest in the literature, little is known about career development practitioners' attitudes towards and knowledge of socially just practice. The present paper examines the views and experiences of Australian career development practitioners on social justice. Data was collected by means of an online survey. Participants offered descriptions of their understanding of social justice and also examples of critical incidents in which they had attempted social justice interventions. Findings related to how Australian career development practitioners describe and operationalise social justice in their work are presented, as well as recommendations for future research.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.642
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.128
GPT teacher head0.319
Teacher spread0.191 · 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