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Record W3200262908 · doi:10.1111/lit.12264

Social justice for young readers: advocating for access, choice and time to read

2021· article· en· W3200262908 on OpenAlex

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

VenueLiteracy · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Administration
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsReading (process)LiteracyAffordanceReading motivationEconomic JusticePublic relationsPsychologySociologyInternet privacyComputer sciencePedagogyPolitical scienceLawCognitive psychology

Abstract

fetched live from OpenAlex

Abstract In a socially just world, everyone would have an equal chance to become an enthusiastic reader. This article presents a detailed ‘asset map’ of a successful reading life and investigates three necessary components for creating readers: access, choice and time to read. Access to books, the chance and the requisite knowledge to choose reading materials of genuine interest, and time to read and thus to develop reading stamina are all vital to reading success. Although they sound simple enough to supply, access, choice and time to read are all currently under attack. The provision of public and school libraries is threatened in many countries; in the absence of easy access to libraries, young people consequently have much less opportunity to practice book selection in a low‐stakes environment; and many classroom activities ironically limit reading time in favour of exercises and seatwork. Those working for socially just literacy options and affordances must decide on the most productive use of energy and resources to pursue a more level playing field; access, choice and time to read are necessary conditions of reading success.

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)0.000
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 score0.779
Threshold uncertainty score0.760

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.002
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 head0.060
GPT teacher head0.411
Teacher spread0.351 · 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