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Record W4390012002 · doi:10.33137/cjal-rcbu.v9.40934

Setting the Stage

2023· article· en· W4390012002 on OpenAlexaffvenue
Emily Hector

Bibliographic record

VenueCanadian Journal of Academic Librarianship · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Administration
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsScholarshipContext (archaeology)WonderReading (process)Library instructionProfessional developmentPhenomenonSociologyPower (physics)PedagogyPsychologyLinguisticsEpistemologyInformation literacyPolitical scienceSocial psychology

Abstract

fetched live from OpenAlex

Within scholarly and professional LIS literature, researchers and practitioners have applied the language, theory, and practices of stage performance to the context of academic library instruction. Recognizing the power of discourse in shaping professional norms and values, I wonder: How might the widespread presence of performance-based approaches to library instruction impact assumptions and expectations of those librarians who provide it? To better identify, interrogate, and imagine the implications of this discourse, this article first provides a review of the scholarship that has contributed to and resisted the phenomenon of library-instruction-as-performance, drawing upon the work of researchers who have engaged with theatrical, dramatic, or comedic approaches to library instruction. Using content analysis and close reading, I then analyze recent academic library conference programs to further understand how this thinking has been brought to life through professional development opportunities. Upon discovering a cluster of emotional themes within these texts, I follow how the discourse of performance in library instruction intersects with the concept of emotional labour in libraries, exploring how performance-based approaches can both demand emotional labour from and provide emotional reprieve to instruction librarians. In doing so, I focus on the interplay of professional discourse in library instruction and behavioural expectations of librarians—including their emotional expressions—to better understand how these phenomena co-exist and reinforce one another.

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.564
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.003
Open science0.0010.000
Research integrity0.0000.001
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 head0.080
GPT teacher head0.317
Teacher spread0.237 · 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 designNot applicable
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

Citations0
Published2023
Admission routes2
Has abstractyes

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