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Record W2510638788 · doi:10.1177/1478210316666442

Zombie graduates driven by rickshaw faculty – a qualitative case study: Private universities in urban Bangladesh

2016· article· en· W2510638788 on OpenAlexaff
Matt M. Husain, Karina Osswald

Bibliographic record

VenuePolicy Futures in Education · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Research Studies
Canadian institutionsUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsSociologyZombieHabitusHigher educationPsycheCorporate governanceSocial scienceLawPolitical scienceManagement

Abstract

fetched live from OpenAlex

Bangladesh’s post-secondary education has become a hunting ground for local economic conglomerates and their transnational allies. Applying a holistic lens helps to understand the factors and short-term effects of blindly applying neo-liberal induced deregulation and privatization that constructed a mushrooming “McDonaldization” culture in the local post-secondary setting (Ball, 2003; Levin, 1998). The findings of a six-week-long study on Bangladeshi private universities, involving 32 interviews with students and faculty, civil society, and business community representatives and over 100 hours of ethnographic observation, contradict the ideal roles of universities in Bangladeshi society as they lead to demands that neither the universities nor the society can satisfy (Boulton and Lucas, 2011; Collini, 2012). These findings indicate this system constructs “zombie graduates” (Husain, forthcoming), who are entitlement happy yet lack critical understanding and suffer from acute ‘philosophical poverty’ (Husain, forthcoming). In addition, this paper highlights the psyche of upper-middle-class local students and how they reinforce a habitus for effective domination (Bourdieu, 1989, 1997). Finally, this paper critically analyses the imbalanced application of economics and philosophy in higher education governance and argues that the outcomes can hurt post-colonial Bangladeshi culture and society in the long run (Harvey, 2005; Sen, 2006). Critically, these impacts contribute to two arguments: White Men’s Germ on Brown Men’s Body (Husain, forthcoming) and Betrayal by the Intellectuals (Chatterjee, 2004; Orwell, 1949).

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.109
Threshold uncertainty score0.961

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
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 head0.042
GPT teacher head0.466
Teacher spread0.424 · 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 designQualitative
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
Published2016
Admission routes1
Has abstractyes

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