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Record W7095806908

REQUEST FOR PROPOSAL RFP 27 (2015-05) ADVERTISING AGENCY PARTNER FOR 2015 SUMMER CAMPAIGN

2015· article· en· W7095806908 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldVeterinary
TopicAnimal Behavior and Welfare Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAgency (philosophy)Period (music)Production (economics)Word (group theory)
DOInot available

Abstract

fetched live from OpenAlex

The Toronto Zoo is seeking a highly qualified and experienced advertising agency partner to provide strategic and creative services, preferably on a pro-bono basis, for the Zoo’s 2015 summer campaign, excluding hard production costs to produce materials, for a period of seven (7) months ending December 31, 2015. We will review all submitted packages, however our evaluation matrix will award additional points to those who submit on a pro-bono basis. The Proposal package, includes Instructions, Contract Requirements, General Requirements, and Forms. Proposals submitted shall remain in effect for a period of ninety (90) days from the Proposal due date. Due Date: Provide four (4) copies of your proposal, one (1) unbound signed and clearly marked as ORIGINAL and three (3) copies of the original proposal clearly marked as COPY and one (1) electronic copy (Microsoft Word or PDF) on a CD or flash drive in a sealed package or envelope. The original and all copies should be identical (excluding any obvious differences in labeling as noted above). Proposals must be delivered to the office of

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)0.005
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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 score0.239
Threshold uncertainty score0.341

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.018
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0050.002
Insufficient payload (model declined to judge)0.7610.683

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 head0.164
GPT teacher head0.418
Teacher spread0.254 · 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; the direct Gemma label and the distilled Codex classifier 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
Published2015
Admission routes1
Has abstractyes

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