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Record W6996126154

Reconciling ‘Graduateness’ and
\nWork-based Learning

2010· article· en· W6996126154 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueResearch Repository (University of Gloucestershire) · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education and Employability
Canadian institutionsnot available
Fundersnot available
KeywordsCircumstantial evidenceDemotionWork (physics)Quality (philosophy)Context (archaeology)
DOInot available

Abstract

fetched live from OpenAlex

The last decade has seen a development of interest in the nature of
\n‘graduateness’. Starting with the (former) Higher Education Quality
\nCouncil’s Graduate Skills project in the mid-1990s and culminating
\nin the current preoccupation with transferable skills, the question
\nhas been asked what the common skills or attributes are that
\ndistinguish graduates from non-graduates. In contrast with business
\nor government’s interest in generic graduate skills, the view of
\ngraduateness within universities is very much associated with specific
\ndisciplines and undergraduate education with enculturation into a
\nparticular academic discipline. This focus on disciplinary content has
\nposed some challenges for the design of Foundation degrees, which
\nare intended to be a blend of academic and workplace learning, and it
\nalso reinforces the academic/vocational divide. Recently, a number of
\nhonours degrees entitled ‘Professional Studies’ have been developed;
\nthese awards are designed to offer successful Foundation degree
\nstudents a route through to honours which uses work-based learning.
\nThese awards vary in content and structure but tend to be designed on
\nthe basis that generic graduate attributes, which Barrie defines
\n‘… as being the skills, knowledge and abilities of university graduates,
\nbeyond disciplinary content knowledge …’ (2004, p.262), can be
\ndeveloped outside a conventional academic discipline.
\n
\nThis paper examines the pedagogic principles underlying the design
\nof one work-based learning ‘top up’ programme which leads to a BSc
\nin Professional Studies. It explores the issues involved in drawing
\ndirectly on experience in the workplace as the material for higher
\nlevel learning. The programme challenges conventional pedagogic
\napproaches which are dominant in the university, and emphasises the
\nimportance of direct action and experience to learning. The authors
\noutline the challenges which need to be addressed in programme
\ndesign when moving away from a focus on disciplinary content,
\nand explain the importance of a focus on process in reconciling
\ngraduateness and work-based learning.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.208
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.077
GPT teacher head0.351
Teacher spread0.274 · 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