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Record W4399273381 · doi:10.11645/18.1.594

Cruel optimism, or, this time will be different!

2024· article· en· W4399273381 on OpenAlexaff
Maura Seale, Karen Nicholson

Bibliographic record

VenueJournal of Information Literacy · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Information Literacy
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsOptimismPsychologySocial psychology

Abstract

fetched live from OpenAlex

Information literacy (IL) is an important means by which academic libraries prove their value within higher education and to broader (sceptical) society. Yet if IL is an array of sociocultural practices that are ultimately about how we find meaning in and engage with the world, then it cannot be taught or obtained in a classroom, even through the most carefully considered (critical) pedagogy. As a result, we find ourselves in a "stuck place", in a relation of “cruel optimism” (Berlant, 2011) with IL, a relation in which we return again and again to the thing we desire, with the expectation that this time, things will be different; everything will work out. What if academic librarians were to acknowledge and refuse the ambivalence of our cruel relation with IL and envision ourselves as helping students learn “how to library” instead? If we de-centred this particular version of IL within academic librarianship, what might we make room for? What alternative spaces for thinking might open up?

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)0.016
metaresearch head score (Gemma)0.039
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.019
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.039
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0090.066
Scholarly communication0.0190.035
Open science0.0020.011
Research integrity0.0060.020
Insufficient payload (model declined to judge)0.0090.004

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 head0.012
GPT teacher head0.301
Teacher spread0.289 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations2
Published2024
Admission routes1
Has abstractyes

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