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Record W2407739482 · doi:10.1111/cag.12274

Everyone is fed, bathed, asleep, and I have made it through another day: Problematizing accommodation, resilience, and care in the neoliberal academy

2016· article· en· W2407739482 on OpenAlexaffvenue
Laurence Simard‐Gagnon

Bibliographic record

VenueCanadian Geographies / Géographies canadiennes · 2016
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsQueen's University
Fundersnot available
KeywordsAccommodationAutonomyNeoliberalism (international relations)Resilience (materials science)Context (archaeology)NormativeIdeal (ethics)SociologyFace (sociological concept)Psychological resiliencePolitical scienceCompetition (biology)Political economySocial psychologyLawPsychologySocial science

Abstract

fetched live from OpenAlex

Key Messages Current models of accommodation in academia fail to challenge liberal normative ideals of individuated autonomy and functionality and neoliberal imperatives of competition. In a neoliberal context, upholding resilience as an ideal in the face of adversity individualizes hardships and adds to the strain of struggling individuals. As academics we need to articulate and perform a radically different and subversive type of care centred upon relationality and inter‐dependency.

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)0.014
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.962
Threshold uncertainty score0.274

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0400.117
Scholarly communication0.0160.013
Open science0.0040.030
Research integrity0.0040.012
Insufficient payload (model declined to judge)0.0060.001

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 head0.057
GPT teacher head0.313
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.

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

Citations20
Published2016
Admission routes2
Has abstractyes

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