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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 OpenAlex
Maura Seale, Karen Nicholson

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.574
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0020.130
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.001

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 head0.012
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