MétaCan
Menu
Back to cohort
Record W4360613948 · doi:10.1080/0309877x.2023.2190450

The PhD by publication in the humanities and social sciences: a cross country analysis

2023· article· en· W4360613948 on OpenAlexaboutno aff
Brian Paltridge, Sue Starfield

Bibliographic record

VenueJournal of Further and Higher Education · 2023
Typearticle
Languageen
FieldHealth Professions
TopicDoctoral Education Challenges and Solutions
Canadian institutionsnot available
Fundersnot available
KeywordsPreferenceLibrary scienceHigher educationSocial scienceSociologyWork (physics)Set (abstract data type)Political scienceLaw

Abstract

fetched live from OpenAlex

This paper examines the PhD by publication in the humanities and social sciences in US, UK, Canadian and Australian universities. A set of PhDs by publication from each of these countries were collected for the study. The theses were analysed to see to what extent they fitted, or not, with discussions of thesis types described in previous research into the PhD by publication. Interviews with students and supervisors were carried out to investigate the choices that students made in their writing. University rules for the submission of PhDs by publication and related policy documents are also examined. The study found that there seems to be a preference for different types of PhD by publication in each of the countries. In the US they were all prospective PhDs with the work being especially written for the thesis. In the UK, by contrast, retrospective PhDs, the PhD by published work, largely dominate. Canada was similar to the US, at least in the area of study where the data were collected for the paper, Education. In Australia, both prospective and retrospective PhDs were found, although it was the former, the prospective PhD, which dominated.

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.322
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
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 head0.284
GPT teacher head0.551
Teacher spread0.267 · 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.

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

Citations14
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Further and Higher EducationSame topicDoctoral Education Challenges and SolutionsFrench-language works237,207