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Record W1901888882 · doi:10.22329/jtl.v7i2.2883

Not Only the Sorcerer's Apprentice: Re-Conjuring the PhD

2011· article· en· W1901888882 on OpenAlexafffundvenue
Kristy Buccieri, Campbell McDermid, Joy Mannette

Bibliographic record

VenueJournal of Teaching and Learning · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Practises and Engagement
Canadian institutionsYork University
FundersYork University
KeywordsApprenticeshipMAGIC (telescope)PostmodernismSociologyPower (physics)EthnographyEpistemologyPhilosophyAnthropology

Abstract

fetched live from OpenAlex

Without a magic mirror on the wall, Ph.D. students have to look elsewhere for answers. In this paper, we pose the question, “What does it mean to be a Ph.D. in the 21st century?” We explore this issue through our respective social locations, as two first year Ph.D. students from differing backgrounds and as a tenured professor in a Faculty of Education. Our interest lies beyond a critique of the current model and a dualistic consideration of what should or should not be. Instead, we engage auto-ethnography with an analytic-induction approach to consider what postmodern doctoral studies might entail. The discussion is informed by a range of theorists, allowing us to consider multiple voices in the process of inculcation within the canon. Central to our discussion is the motivation of doctoral students and the means by which we can find our place within existing research communities. We examine the responsibility of students in animating knowledge and disseminating it outside the walls of the established academy. With a Ph.D. comes considerable power. The time has come for us to re-think the way we pass the wand from sorcerer to apprentice, and perhaps, even what is the wand.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.012
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.025
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0180.012
Scholarly communication0.0110.011
Open science0.0010.015
Research integrity0.0020.007
Insufficient payload (model declined to judge)0.0070.003

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 head0.094
GPT teacher head0.348
Teacher spread0.255 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations3
Published2011
Admission routes3
Has abstractyes

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