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Record W2766702060 · doi:10.1177/1474022217731697

Postdoctoral scholars in a faculty of education: Navigating liminal spaces and marginal identities

2017· article· en· W2766702060 on OpenAlexaffabout
Lydia Burke, Jennifer Hall, Wilson Aires De Paiva, Angela S. Alberga, Guanglun Michael Mu, Jeanna Parsons Leigh, Monica Sesma Vazquez

Bibliographic record

VenueArts and Humanities in Higher Education · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Practises and Engagement
Canadian institutionsUniversity of CalgaryConcordia UniversityUniversity of Toronto
Fundersnot available
KeywordsCollegialityLiminalityCLARITYSociologyHigher educationIdentity (music)Agency (philosophy)PedagogySpace (punctuation)Public relationsPolitical scienceSocial scienceAestheticsArt

Abstract

fetched live from OpenAlex

The last decade has seen a slow but steady increase in the number of postdoctoral scholars employed in faculties of education. In this article, seven postdoctoral scholars who worked in the same Canadian faculty of education explore their past positionings within the postdoctoral space. We share personal narratives related to issues of agency and identity in our relatively ill-defined positions. Similar to other early career academics, our reflections expose key concerns surrounding clarity of expectations, workload and work/life balance, and issues related to community and collegiality. In addition, we identify institutional or structural constraints that need to be reconciled in order to support postdoctoral scholars in their aspirations for success on personal and institutional levels. We provide recommendations and invite dialogue with regard to this emerging role in faculties of education.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.470
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
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 head0.165
GPT teacher head0.428
Teacher spread0.264 · 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 designObservational
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
Published2017
Admission routes2
Has abstractyes

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