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Record W7160309746 · doi:10.17613/5zab0-5qc16

Space Squid Archives: Issues 1-9 and other materials (Texas A&M University Special Collections)

2010· other· en· W7160309746 on OpenAlexaboutno aff
D.R.R. Chang, Matthew Bey, S.G. Wilson

Bibliographic record

VenueKnowledge Commons (Lakehead University) · 2010
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsSquidSpace (punctuation)PublishingMetadataQuarter (Canadian coin)

Abstract

fetched live from OpenAlex

This is the metadata record for the physical collection held at Texas A&M University's Cushing Memorial Library and Archives, as documented at https://findingaids.library.tamu.edu/index.php/issues-1-9-and-other-materials . Box 1 of the Space Squid archives Space Squid is an award-winning alternative literary journal publishing speculative fiction, experimental fiction, bizarro, and humor. Authors include Nicky Drayden (The Prey of Gods, Temper), Kelly Luce (Three Scenarios in Which Hana Sasaki Grows a Tail), Bruce Sterling (Holy Fire, Islands in the Net), Chris Roberson (Clockwork Storybook, Superman, iZombie), Jay Lake (John W. Campbell Award winner), Jennifer Pelland (Nebula nominee), Tony Millionaire (Maakies), and Caroline M. Yoachim. (1/10) Issue guide, written by Matthew Bey. (1/20) Space Squid, issues 1-4 (not numbered as such). (1/30) Master copy of no. 5. (1/40) Space Squid, issues 6, 8, 9. (1/50) Space Squid no. 6c, with photocopy. (1/60) Color master of no. 7. (1/70) Articles about clay magazine issue. (1/80) "Hunting Bigfoot" by Kevin Brown. (1/90) Ephemera. (1/100) Tales of Mushroom Men. (1/110) Space Squid no. 10. (1/12) Space Squid no. 11 (Summer 2012) (1/13) Space Squid no. 12 (Summer 2015) (1/14) Space Squid no. 13 - 14 (Summer 2016 - Summer 2017)

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.475
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0060.003
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0180.005

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 head0.020
GPT teacher head0.237
Teacher spread0.217 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2010
Admission routes1
Has abstractyes

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